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A Survey on Industrial Internet of Things Security: Requirements, Attacks, AI-based Solutions, and Edge Computing Opportunities
Open accessAbstract
The Industrial Internet of Things (IIoT) paradigm is a key research area derived from the Internet of Things (IoT). The emergence of IIoT has enabled a revolution in manufacturing and production, through the employment of various embedded sensing devices connected with each other by an IoT network, along with a collection of enabling technologies such as artificial intelligence (AI) and edge/fog computing. One of the unrivaled characteristics of IIoT is the inter-connectivity provided to industries; however, this characteristic might open the door for cyber-criminals to launch various attacks. In fact, one of the major challenges hindering the prevalent adoption of the IIoT paradigm is IoT security. Inevitably, an increasing number of research proposals have been introduced over the last decade to overcome these security concerns. To obtain an overview of this research area, conducting a literature survey of the published research is necessary, eliciting the various security requirements and their considerations. This paper provides a literature survey of IIoT security, focused on the period from 2017 to 2023. We identify IIoT security threats and classify them into three categories, based on the IIoT layer they exploit to launch these attacks. Additionally, we characterize the security requirements that these attacks violate. Finally, we highlight how emerging technologies, such as AI and edge/fog computing, can be adopted to address security concerns and enhance IIoT security.
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“All in all, this means that there is a certain overlap between IT, the IoT, and OT, and this overlap can be referred to as the IIoT [11].”
From Mapping of Industrial IoT to IEC 62443 Standards (2025) · cites this paper as [11]
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1 retracted
Kamaleshwar, T., Lakshminarayanan, R., Teekaraman, Y., Kuppusamy, R., & Radhakrishnan, A. (2021) · Wireless Communications and Mobile Computing · doi:10.1155/2021/5143124 · Cited by 10
RetractedDrebin: Effective and Explainable Detection of Android Malware in Your Pocket
Arp, D., Spreitzenbarth, M., Hübner, M., Gascón, H., & Rieck, K. (2014) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2014.23247 · Cited by 2,417
Integration of Cloud computing and Internet of Things: A survey
Alessio Botta, B., de Donato, W., Persico, V., & Pescapè, A. (2015) · Future Generation Computer Systems · doi:10.1016/j.future.2015.09.021 · Cited by 2,395
Industrial Internet of Things: Challenges, Opportunities, and Directions
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., & Gidlund, M. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2852491 · Cited by 2,380
Literature review of Industry 4.0 and related technologies
Oztemel, E., & Gursev, S. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1433-8 · Cited by 2,143
Understanding the mirai botnet
Antonakakis, M., April, T., Bailey, M., Bernhard, M., Bursztein, E., Cochran, J., Durumeric, Z., Halderman, J. A., Invernizzi, L., Kallitsis, M., et al. (2017) · USENIX Security Symposium · Cited by 1,362
Network Anomaly Detection: Methods, Systems and Tools
Bhuyan, M. H., Bhattacharyya, D. K., & Kalita, J. K. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.052213.00046 · Cited by 1,358
Ferrag, M. A., Friha, O., Hamouda, D., Maglaras, L. A., & Janicke, H. (2022) · IEEE Access · doi:10.1109/access.2022.3165809 · Cited by 1,321
Industry 4.0: Towards future industrial opportunities and challenges
Zhou, K., Liu, T., & Zhou, L. (2015) · International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) · doi:10.1109/fskd.2015.7382284 · Cited by 1,257
IEEE Transactions on Industrial Informatics
(2016) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2016.2631734 · Cited by 1,218
Dual u-net with resnet encoder for segmentation of medical images
Syed, Q. N., & Ismail, A. R. (2022) · The International Islamic University Malaysia Repository (The International Islamic University Malaysia) · Cited by 1,142
Security and privacy challenges in industrial internet of things
Sadeghi, A., Wachsmann, C., & Waidner, M. (2015) · ACM/IEEE Design Automation Conference (DAC) · doi:10.1145/2744769.2747942 · Cited by 996
Edge Computing in Industrial Internet of Things: Architecture, Advances and Challenges
Qiu, T., Chi, J., Zhou, X., Ning, Z., Atiquzzaman, M., & Wu, D. O. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3009103 · Cited by 857
Cyber physical systems in the context of Industry 4.0
Jazdi, N. (2014) · IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) · doi:10.1109/aqtr.2014.6857843 · Cited by 847
Journal of Ambient Intelligence and Humanized Computing
Ambient, J., Comput, I. H., Hamie, J., Denis, B., Richard, C., Hamie, J., Denis, B., & Richard, C. (2013) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/12652.1868-5145 · Cited by 840
Wireless Communications and Mobile Computing
BONONI, L. (2006) · Wireless Communications and Mobile Computing · doi:10.1002/(issn)1530-8677 · Cited by 837
Allix, K., Bissyandé, T. F., Klein, J., & Traon, Y. L. (2016) · International Conference on Mining Software Repositories (MSR) · doi:10.1145/2901739.2903508 · Cited by 836
IoT: Internet of Threats? A Survey of Practical Security Vulnerabilities in Real IoT Devices
Meneghello, F., Calore, M., Zucchetto, D., Polese, M., & Zanella, A. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2935189 · Cited by 812
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures
Bütün, İ., Osterberg, P., & Song, H. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2953364 · Cited by 792
IEEE Transactions on Mobile Computing
(2026) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.7755 · Cited by 776
Controlled-Channel Attacks: Deterministic Side Channels for Untrusted Operating Systems
Xu, Y., Cui, W., & Peinado, M. (2015) · IEEE Symposium on Security and Privacy (S&P) · doi:10.1109/sp.2015.45 · Cited by 725
Neshenko, N., Bou-Harb, E., Crichigno, J., Kaddoum, G., & Ghani, N. (2019) · IEEE Communications Surveys and Tutorials · doi:10.1109/comst.2019.2910750 · Cited by 723
Díáz, M., Martín, C., & Rubio, B. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.01.010 · Cited by 689
IEEE Journal on Selected Areas in Communications
(2025) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.49 · Cited by 687
A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective
Xu, H., Yu, W., Griffith, D., & Golmie, N. (2018) · IEEE Access · doi:10.1109/access.2018.2884906 · Cited by 637
Internet of things security: A top-down survey
Kouicem, D. E., Bouabdallah, A., & Lakhlef, H. (2018) · Computer Networks · doi:10.1016/j.comnet.2018.03.012 · Cited by 613
A Classification of SQL-Injection Attacks and Countermeasures
Halfond, W. G. J., Viegas, J., & Orso, A. (2006) · Cited by 588
Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
Aazam, M., Zeadally, S., & Harras, K. A. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2855198 · Cited by 572
Edge Computing Security: State of the Art and Challenges
Xiao, Y., Jia, Y., Liu, C., Cheng, X., Yu, J., & Lv, W. (2019) · Proceedings of the IEEE · doi:10.1109/jproc.2019.2918437 · Cited by 568
Security and Communication Networks
BONONI, L. (2018) · Security and Communication Networks · doi:10.1002/(issn)1939-0122 · Cited by 566
IEEE Transactions on Industry Applications
Institute of Electrical and Electronics Engineers, & IEEE Industry Applications Society (2023) · IEEE Transactions on Industry Applications · doi:10.1109/tia.28 · Cited by 559
Security and privacy in fog computing: Challenges
Mukherjee, M., Matam, R., Shu, L., Maglaras, L., Ferrag, M. A., Choudhury, N., & Kumar, V. (2017) · IEEE Access · doi:10.1109/access.2017.2749422 · Cited by 533
Machine Learning-Based Network Vulnerability Analysis of Industrial Internet of Things
Zolanvari, M., Teixeira, M. A., Gupta, L., Khan, K. M., & Jain, R. K. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2912022 · Cited by 526
Data security and privacy-preserving in edge computing paradigm: survey and open issues
Zhang, J., Chen, B., Zhao, Y., Cheng, X., & Hu, F. (2018) · IEEE Access · doi:10.1109/access.2018.2820162 · Cited by 514
Intrusion detection systems for IoT-based smart environments: a survey
Elrawy, M. F., Awad, A. I., & Hamed, H. F. A. (2018) · Journal of Cloud Computing Advances Systems and Applications · doi:10.1186/s13677-018-0123-6 · Cited by 485
Routing Attacks and Countermeasures in the RPL-Based Internet of Things
Wallgren, L., Raza, S., & Voigt, T. (2013) · International Journal of Distributed Sensor Networks · doi:10.1155/2013/794326 · Cited by 483
Cyber-physical systems and their security issues
Alguliyev, R. M., İmamverdiyev, Y., & Sukhostat, L. V. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.04.017 · Cited by 479
Security attacks in IoT: A survey
Deogirikar, J., & Vidhate, A. V. (2017) · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · doi:10.1109/i-smac.2017.8058363 · Cited by 470
Tange, K., De Donno, M., Fafoutis, X., & Dragoni, N. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3011208 · Cited by 410 · cited 5×
“…is preferable to utilize edge computing devices to ascertain the validity of these updates and run thorough tests (e.g., running the updates needed for the industrial systems at the edge in a sandbox environment to ensure no anomalies reside before forwarding them to the industrial devices) [10].”
BackgroundInfluentialCybersecurity for Industry 4.0 in the current literature: A reference framework
Lezzi, M., Lazoi, M., & Corallo, A. (2018) · Computers in Industry · doi:10.1016/j.compind.2018.09.004 · Cited by 404
Sajid, A., Abbas, H., & Saleem, K. (2016) · IEEE Access · doi:10.1109/access.2016.2549047 · Cited by 401
Pivoto, D. G. S., de Almeida, L. F. R., Righi, R. D. R., Rodrigues, J., Lugli, A. B., & Alberti, A. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.11.017 · Cited by 399
Challenges and Opportunities in Securing the Industrial Internet of Things
Serror, M., Hack, S., Henze, M., Schuba, M., & Wehrle, K. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3023507 · Cited by 381
Federated Deep Learning for Zero-Day Botnet Attack Detection in IoT-Edge Devices
Popoola, S. I., Ande, R., Adebisi, B., Gui, G., Hammoudeh, M. A. A., & Jogunola, O. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3100755 · Cited by 375
The Cluster Between Internet of Things and Social Networks: Review and Research Challenges
Ortiz, A. M., Hussein, D., Park, S., Han, S. N., & Crespi, N. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2318835 · Cited by 374
Using the internet of things in smart energy systems and networks
Ahmad, T., & Zhang, D. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102783 · Cited by 332
Authentication Protocols for Internet of Things: A Comprehensive Survey
Ferrag, M. A., Maglaras, L. A., Janicke, H., Jiang, J., & Shu, L. (2017) · Security and Communication Networks · doi:10.1155/2017/6562953 · Cited by 331
Securing the Internet of Things: Challenges, threats and solutions
Radoglou Grammatikis, P. I., Sarigiannidis, P. G., & Moscholios, I. D. (2019) · Internet of Things · doi:10.1016/j.iot.2018.11.003 · Cited by 308
Systematic Classification of Side-Channel Attacks: A Case Study for Mobile Devices
Spreitzer, R., Moonsamy, V., Korak, T., & Mangard, S. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2779824 · Cited by 305
Computers and electrical engineering
(1995) · Computers & Electrical Engineering · doi:10.1016/0045-7906(95)90001-2 · Cited by 304
A Survey on Human-in-the-Loop Applications Towards an Internet of All
Nunes, D., Zhang, P., & Silva, J. S. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2398816 · Cited by 295
Detecting crypto-ransomware in IoT networks based on energy consumption footprint
Azmoodeh, A., Dehghantanha, A., Conti, M., & Choo, K. R. (2017) · Journal of Ambient Intelligence and Humanized Computing · doi:10.1007/s12652-017-0558-5 · Cited by 295
Fu, J.-S., Liu, Y., Chao, H., Bhargava, B., & Zhang, Z. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2793350 · Cited by 289
A survey: Attacks on RPL and 6LoWPAN in IoT
Pongle, P., & Chavan, G. T. (2015) · doi:10.1109/pervasive.2015.7087034 · Cited by 286
Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks
Popoola, S. I., Adebisi, B., Hammoudeh, M. A. A., Gui, G., & Gacanin, H. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3034156 · Cited by 263
IEEE Transactions on Consumer Electronics
(2020) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2020.2997274 · Cited by 261
Internet of Things and Edge Cloud Computing Roadmap for Manufacturing
Georgakopoulos, D., Jayaraman, P. P., Fazia, M., Villari, M., & Ranjan, R. K. (2016) · IEEE Cloud Computing · doi:10.1109/mcc.2016.91 · Cited by 256
Peer-to-Peer Networking and Applications
(2013) · Peer-to-Peer Networking and Applications · doi:10.1007/12083.1936-6450 · Cited by 244
A Comprehensive Survey on Interoperability for IIoT: Taxonomy, Standards, and Future Directions
Hazra, A., Adhikari, M., Amgoth, T., & Srirama, S. N. (2021) · ACM Computing Surveys · doi:10.1145/3485130 · Cited by 241
Integrated Anomaly Detection for Cyber Security of the Substations
Hong, J., Liu, C., & Govindarasu, M. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2294473 · Cited by 239
CloudRadar: A Real-Time Side-Channel Attack Detection System in Clouds
Zhang, T., Zhang, Y., & Lee, R. B. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-45719-2_6 · Cited by 236
Intrusion detection techniques in cloud environment: A survey
Mishra, P., Pilli, E. S., Varadharajan, V., & Tupakula, U. K. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.10.015 · Cited by 230
Smart home security: challenges, issues and solutions at different IoT layers
Touqeer, H., Zaman, S., Amin, R., Hussain, M., Al-Turjman, F. M., & Bilal, M. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-021-03825-1 · Cited by 225
Hasan, M. K., Ghazal, T. M., Saeed, R. A., Pandey, B., Gohel, H., Eshmawi, A. A., Abdel‐Khalek, S., & Alkhassawneh, H. M. (2021) · IET Communications · doi:10.1049/cmu2.12301 · Cited by 225
IEEE Wireless Communications Letters
(2026) · IEEE Wireless Communications Letters · doi:10.1109/lwc.5962382 · Cited by 220
Understanding Security Requirements and Challenges in Internet of Things (IoT): A Review
Hameed, S., Khan, F. I., & Hameed, B. (2019) · Journal of Computer Networks and Communications · doi:10.1155/2019/9629381 · Cited by 219
From intrusion detection to attacker attribution: A comprehensive survey of unsupervised methods
Nisioti, A., Mylonas, A., Yoo, P. D., & Katos, V. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2854724 · Cited by 212
Fuzzy pattern tree for edge malware detection and categorization in IoT
Dovom, E. M., Azmoodeh, A., Dehghantanha, A., Newton, D. E., Parizi, R. M., & Karimipour, H. (2019) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2019.01.017 · Cited by 212
Internet of things and ransomware: Evolution, mitigation and prevention
Humayun, M., Jhanjhi, N. Z., Alsayat, A., & Ponnusamy, V. (2020) · Egyptian Informatics Journal · doi:10.1016/j.eij.2020.05.003 · Cited by 210
FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT
Li, J., Lyu, L., Liu, X., Zhang, X., & Lyu, X. (2021) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2021.3088938 · Cited by 209
On the Vital Areas of Intrusion Detection Systems in Wireless Sensor Networks
Abduvaliyev, A., Pathan, A. K., Zhou, J., Román, R., & Wong, W. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2012.121912.00006 · Cited by 208
Cyber Threats to Industrial IoT: A Survey on Attacks and Countermeasures
Τσίκνας, Κ., Taketzis, D., Demertzis, K., & Skianis, C. A. (2021) · IoT · doi:10.3390/iot2010009 · Cited by 208
Stojmenović, I. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2311693 · Cited by 205
Network and information security challenges within Industry 4.0 paradigm
Pereira, T., Barreto, L., & Amaral, A. (2017) · Procedia Manufacturing · doi:10.1016/j.promfg.2017.09.047 · Cited by 200
Leveraging LSTM Networks for Attack Detection in Fog-to-Things Communications
Diro, A. A., & Chilamkurti, N. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1701270 · Cited by 197
A Comprehensive IoT Attacks Survey based on a Building-blocked Reference Model
Akram, H., Konstantas, D., & Mahyoub, M. (2018) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2018.090349 · Cited by 193
Almashhadani, A. O., Kaiiali, M., Sezer, S., & O’Kane, P. (2019) · IEEE Access · doi:10.1109/access.2019.2907485 · Cited by 192
Anwar, S., Zain, J. M., Zolkipli, M. F., Inayat, Z., Khan, S., Anthony, B., & Chang, V. I. C. (2017) · Algorithms · doi:10.3390/a10020039 · Cited by 190
A Multi-Level DDoS Mitigation Framework for the Industrial Internet of Things
Yan, Q., Huang, W., Luo, X., Gong, Q., & Yu, F. R. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700621 · Cited by 189
Qiu, T., Liu, J., Si, W., & Wu, D. O. (2019) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2019.2907243 · Cited by 187
Consumer, Commercial, and Industrial IoT (In)Security: Attack Taxonomy and Case Studies
Xenofontos, C., Zografopoulos, I., Konstantinou, C., Jolfaei, A., Khan, M. K., & Choo, K.-K. R. (2022) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3079916 · Cited by 183
Cross-site scripting (XSS) attacks and mitigation: A survey
Rodríguez, G., Torres, J., Flores, P., & Benavides-Astudillo, E. (2019) · Computer Networks · doi:10.1016/j.comnet.2019.106960 · Cited by 181
Gope, P., Amin, R., Islam, S. K. H., Kumar, N., & Bhalla, V. K. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.06.023 · Cited by 180
Network Intrusion Detection and Prevention - Concepts and Techniques
Ghorbani, A., Lu, W., & Tavallaee, M. (2009) · Advances in Information Security · doi:10.1007/978-0-387-88771-5 · Cited by 175
Malware Detection in Cloud Computing Infrastructures
Watson, M. R., Shirazi, S. N., Marnerides, A. K., Mauthe, A., & Hutchison, D. (2015) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2015.2457918 · Cited by 172
Abosata, N., Al–Rubaye, S., İnalhan, G., & Emmanouilidis, C. (2021) · Sensors · doi:10.3390/s21113654 · Cited by 162
A Survey of Side-Channel Attacks on Caches and Countermeasures
Lyu, Y., & Mishra, P. (2017) · Journal of Hardware and Systems Security · doi:10.1007/s41635-017-0025-y · Cited by 157
Zhang, Y., Deng, R. H., Zheng, D., Li, J., Wu, P., & Cao, J. P. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2894108 · Cited by 154
A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems
Moustafa, N., Adi, E., Turnbull, B., & Hu, J. (2018) · IEEE Access · doi:10.1109/access.2018.2844794 · Cited by 153
SMOTE-DRNN: A Deep Learning Algorithm for Botnet Detection in the Internet-of-Things Networks
Popoola, S. I., Adebisi, B., Ande, R., Hammoudeh, M. A. A., Anoh, K., & Atayero, A. A. A. (2021) · Sensors · doi:10.3390/s21092985 · Cited by 148
Donta, P. K., Srirama, S. N., Amgoth, T., & Annavarapu, C. S. R. (2021) · Digital Communications and Networks · doi:10.1016/j.dcan.2021.10.004 · Cited by 148
A survey on computation offloading and service placement in fog computing-based IoT
Gasmi, K., Dilek, S., Tosun, S., & Özdemi̇r, S. (2021) · The Journal of Supercomputing · doi:10.1007/s11227-021-03941-y · Cited by 146
Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges
Basir, R., Qaisar, S., Ali, M., Aldwairi, M., Ashraf, M. I., Mahmood, A., & Gidlund, M. (2019) · Sensors · doi:10.3390/s19214807 · Cited by 145
A survey on Classification of Cyber-attacks on IoT and IIoT devices
Shah, Y. K., & Sengupta, S. (2020) · IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · doi:10.1109/uemcon51285.2020.9298138 · Cited by 140
Fog Computing Applications in Smart Cities: A Systematic Survey
Javadzadeh, G., & Rahmani, A. M. (2019) · Wireless Networks · doi:10.1007/s11276-019-02208-y · Cited by 138
IIoT cybersecurity risk modeling for SCADA systems
Falco, G., Caldera, C., & Shrobe, H. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2822842 · Cited by 137
Cloud Manufacturing: Security, Privacy, and Forensic Concerns
Esposito, C., Castiglione, A., Martini, B., & Choo, K. R. (2016) · IEEE Cloud Computing · doi:10.1109/mcc.2016.79 · Cited by 122
Utilizing Blockchain to Overcome Cyber Security Concerns in the Internet of Things: A Review
Alotaibi, B. (2019) · IEEE Sensors Journal · doi:10.1109/jsen.2019.2935035 · Cited by 120
Self-citationData Security and Privacy in Fog Computing
Guan, Y., Shao, J., Wei, G., & Xie, M. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700250 · Cited by 118
Ari, A. A. A., Ngangmo, O. K., Titouna, C., Thiaré, O., Kolyang, Mohamadou, A., & Gueroui, A. M. (2019) · Applied Computing and Informatics · doi:10.1016/j.aci.2019.11.005 · Cited by 116
Botnet Attack Detection Using Local Global Best Bat Algorithm for Industrial Internet of Things
Alharbi, A., Alosaimi, W. A., Alyami, H., Rauf, H. T., & Damaševičius, R. (2021) · Electronics · doi:10.3390/electronics10111341 · Cited by 116
Shen, S., Huang, L., Zhou, H., Yu, S., Fan, E., & Cao, Q. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2795549 · Cited by 115
Sensitive and Energetic IoT Access Control for Managing Cloud Electronic Health Records
Riad, K., Hamza, R., & Yan, H. (2019) · IEEE Access · doi:10.1109/access.2019.2926354 · Cited by 113
Toward Edge-Assisted Internet of Things: From Security and Efficiency Perspectives
Ni, J., Lin, X., & Shen, X. (2019) · IEEE Network · doi:10.1109/mnet.2019.1800229 · Cited by 112
Meng, W., Li, W., & Kwok, L. F. (2014) · Computers & Security · doi:10.1016/j.cose.2014.02.006 · Cited by 111
Secure Timestamp-Based Mutual Authentication Protocol for IoT Devices Using RFID Tags
Tewari, A., & Gupta, B. B. (2020) · International Journal on Semantic Web and Information Systems · doi:10.4018/ijswis.2020070102 · Cited by 111
An intrusion detection framework for energy constrained IoT devices
Arshad, J., Azad, M. A., Abdellatif, M. M., & Salah, K. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106436 · Cited by 109
Efficient Data Access Control With Fine-Grained Data Protection in Cloud-Assisted IIoT
Qi, S., Lu, Y., Wei, W., & Chen, X. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3020979 · Cited by 109
Fog computing security and privacy for the Internet of Thing applications: State‐of‐the‐art
Alzoubi, Y. I., Osmanaj, V., Jaradat, A., & Al‐Ahmad, A. (2020) · Security and Privacy · doi:10.1002/spy2.145 · Cited by 108
Access Control for IoT: A Survey of Existing Research, Dynamic Policies and Future Directions
Ragothaman, K. N. M., Wang, Y., Rimal, B. P., & Lawrence, M. (2023) · Sensors · doi:10.3390/s23041805 · Cited by 107
SecLAP: Secure and lightweight RFID authentication protocol for Medical IoT
Aghili, S. F., Mala, H., Kaliyar, P., & Conti, M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.07.004 · Cited by 104
Maiorca, D., Mercaldo, F., Giacinto, G., Visaggio, C. A., & Martinelli, F. (2017) · ACM Symposium on Applied Computing · doi:10.1145/3019612.3019793 · Cited by 102
Zaminkar, M., & Fotohi, R. (2020) · Wireless Personal Communications · doi:10.1007/s11277-020-07421-z · Cited by 102
Abdulghani, H. A., & Konstantas, D. (2019) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan8020022 · Cited by 98
Fun, T. S., & Samsudin, A. (2021) · Sensors · doi:10.3390/s21196647 · Cited by 98
A fog computing based approach to DDoS mitigation in IIoT systems
Zhou, L., Guo, H., & Deng, G. (2019) · Computers & Security · doi:10.1016/j.cose.2019.04.017 · Cited by 95
Bul’ajoul, W., James, A. E., & Pannu, M. (2014) · Journal of Computer and System Sciences · doi:10.1016/j.jcss.2014.12.012 · Cited by 94
DeL-IoT: A deep ensemble learning approach to uncover anomalies in IoT
Tsogbaatar, E., Bhuyan, M. H., Taenaka, Y., Fall, D., Gonchigsumlaa, K., Elmroth, E., & Kadobayashi, Y. (2021) · Internet of Things · doi:10.1016/j.iot.2021.100391 · Cited by 93
Lightweight Searchable Public-Key Encryption for Cloud-Assisted Wireless Sensor Networks
Xu, P., He, S., Wang, W., Susilo, W., & Jin, H. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2784395 · Cited by 92
Analysis of cyber security for industrial control systems
Drias, Z., Serhrouchni, A., & Vogel, O. (2015) · International Conference on Security of Smart Cities, Industrial Control System and Communications (SSIC) · doi:10.1109/ssic.2015.7245330 · Cited by 89
Jayalaxmi, P., Saha, R., Kumar, G., Kumar, N., & Kim, T.-H. (2021) · IEEE Access · doi:10.1109/access.2021.3057766 · Cited by 88
Refined LSTM Based Intrusion Detection for Denial-of-Service Attack in Internet of Things
Alimi, K. O. A., Ouahada, K., Abu-Mahfouz, A. M. I., Rimer, S., & Alimi, O. A. (2022) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan11030032 · Cited by 88
IoT Botnet Attack Detection Based on Optimized Extreme Gradient Boosting and Feature Selection
Alqahtani, M., Mathkour, H. I., & Ismail, M. M. B. (2020) · Sensors · doi:10.3390/s20216336 · Cited by 87
Token-Based Lightweight Authentication to Secure IoT Networks
Dammak, M., Boudia, O. R. M., Messous, M.-A., Senouci, S., & Gransart, C. (2019) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2019.8651825 · Cited by 83
Network Attack Classification in IoT Using Support Vector Machines
Ioannou, C., & Vassiliou, V. (2021) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan10030058 · Cited by 82
Towards effective offloading mechanisms in fog computing
Sofla, M. S., Kashani, M. H., Mahdipour, E., & Mirzaee, R. F. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11423-9 · Cited by 82
Black SDN for the Internet of Things
Chakrabarty, S., Engels, D. W., & Thathapudi, S. (2015) · IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS) · doi:10.1109/mass.2015.100 · Cited by 81
Targeted Ransomware: A New Cyber Threat to Edge System of Brownfield Industrial Internet of Things
Al-Hawawreh, M. S., den Hartog, F., & Sitnikova, E. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2914390 · Cited by 81
Xiong, H., Bao, Y., Nie, X., & Asoor, Y. I. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2921516 · Cited by 81
Adil, M., Almaiah, M. A., Alsayed, A. O., & Almomani, O. (2020) · Sensors · doi:10.3390/s20082311 · Cited by 81
BotStop : Packet-based efficient and explainable IoT botnet detection using machine learning
Alani, M. M. (2022) · Computer Communications · doi:10.1016/j.comcom.2022.06.039 · Cited by 79
An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things
Nguyen, T. N., Ngo, Q.-D., Nguyen, H., & Giang, N. L. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3152814 · Cited by 79
Fog Computing for Internet of Things (IoT)-Aided Smart Grid Architectures
Hussain, M. M., & Beg, M. M. S. (2019) · Big Data and Cognitive Computing · doi:10.3390/bdcc3010008 · Cited by 78
TrustChain: A Privacy Preserving Blockchain with Edge Computing
Jayasinghe, U., Lee, G. M., MacDermott, Á., & Rhee, W. S. (2019) · Wireless Communications and Mobile Computing · doi:10.1155/2019/2014697 · Cited by 78
A Mutual Security Authentication Method for RFID-PUF Circuit Based on Deep Learning
Liang, W., Xie, S., Zhang, D., Li, X., & Li, K. (2021) · ACM Transactions on Internet Technology · doi:10.1145/3426968 · Cited by 78
Xue, K., Hong, J., Ma, Y., Wei, D. S. L., Hong, P., & Yu, N. (2018) · IEEE Network · doi:10.1109/mnet.2018.1700341 · Cited by 77
Effect of Imbalanced Datasets on Security of Industrial IoT Using Machine Learning
Zolanvari, M., Teixeira, M. A., & Jain, R. K. (2018) · IEEE International Conference on Intelligence and Security Informatics (ISI) · doi:10.1109/isi.2018.8587389 · Cited by 77
Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond
Narayanan, A., de Sena, A. S., Gutiérrez-Rojas, D., Carrillo, D., Hussain, H. M., Ullah, M., Bayhan, S., & Nardelli, P. H. J. (2020) · IEEE Access · doi:10.1109/access.2020.3037717 · Cited by 77
Towards IoT-DDoS Prevention Using Edge Computing
Bhardwaj, K., Chung, J., & Gavrilovska, A. (2018) · Cited by 76
CyberSecurity: A Review of Internet of Things (IoT) Security Issues, Challenges and Techniques
Abdullah, A., Hamad, R., Abdulrahman, M., Moala, H., & Khediri, S. E. (2019) · International Conference on Computer Applications & Information Security (ICCAIS) · doi:10.1109/cais.2019.8769560 · Cited by 76
A Network Function Virtualization System for Detecting Malware in Large IoT Based Networks
Guizani, N., & Ghafoor, A. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.2986618 · Cited by 76
A Secured and Intelligent Communication Scheme for IIoT-enabled Pervasive Edge Computing
Khan, F., Jan, M. A., Rehman, A. U., Mastorakis, S., Alazab, M., & Watters, P. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2020.3037872 · Cited by 76
LiDL: Localization with early detection of sybil and wormhole attacks in IoT Networks
Kaliyar, P., Jaballah, W. B., Conti, M., & Lal, C. (2020) · Computers & Security · doi:10.1016/j.cose.2020.101849 · Cited by 75
Journal of Sensor and Actuator Networks
(2013) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan · Cited by 75
An Anomaly Mitigation Framework for IoT Using Fog Computing
Lawal, M. A., Shaikh, R. A., & Hassan, S. R. (2020) · Electronics · doi:10.3390/electronics9101565 · Cited by 73
Towards effective security control assignment in the Industrial Internet of Things
Hassanzadeh, A., Modi, S. K., & Mulchandani, S. (2015) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2015.7389155 · Cited by 72
Edge Computing Architectures in Industry 4.0: A General Survey and Comparison
Sittón-Candanedo, I., Alonso, R. S., Rodrı́guez, S., Coria, J. A. G., & la Prieta, F. D. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-20055-8_12 · Cited by 72
An enhanced scalable and secure RFID authentication protocol for WBAN within an IoT environment
Izza, S., Benssalah, M., & Drouiche, K. (2021) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102705 · Cited by 72
Communal Acts of IoT Consumers: A Potential Threat to Security and Privacy
Khan, W. Z., Aalsalem, M. Y., & Khan, M. K. (2018) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2018.2880338 · Cited by 70
Wang, F., Cui, J., Zhang, Q., He, D., Gu, C., & Zhong, H. (2023) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2023.3285800 · Cited by 69
A review on the readiness level and cyber-security challenges in Industry 4.0
Benias, N., & Markopoulos, A. P. (2017) · doi:10.23919/seeda-cecnsm.2017.8088234 · Cited by 66
Industrial IoT security threats and concerns by considering Cisco and Microsoft IoT reference models
Bakhshi, Z., Balador, A., & Mustafa, J. (2018) · IEEE Wireless Communications and Networking Conference Workshops (WCNCW) · doi:10.1109/wcncw.2018.8368997 · Cited by 66
Zhou, L. Q., Yeh, K., Hancke, G. P., Liu, Z., & Su, C. (2018) · IEEE Signal Processing Magazine · doi:10.1109/msp.2018.2846297 · Cited by 65
Cui, H., Deng, R. H., Liu, J. K., Yi, X., & Li, Y. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2813304 · Cited by 63
A Survey on Situational Awareness of Ransomware Attacks—Detection and Prevention Parameters
Silva, J. A. H., López, L. I. B., Caraguay, Á. L. V., & Hernández-Álvarez, M. (2019) · Remote Sensing · doi:10.3390/rs11101168 · Cited by 63
DoS-Resilient Distributed Optimal Scheduling in a Fog Supporting IIoT-Based Smart Microgrid
Tajalli, S. Z., Mardaneh, M., Taherian-Fard, E., Izadian, A., Kavousi‐Fard, A., Dabbaghjamanesh, M., & Niknam, T. (2020) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2020.2979677 · Cited by 61
Sharma, G., & Kalra, S. (2018) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2018.08.003 · Cited by 60
Web-based Attacks to Discover and Control Local IoT Devices
Acar, G., Huang, D. Y., Li, F., Narayanan, A., & Feamster, N. (2018) · doi:10.1145/3229565.3229568 · Cited by 58
Shishehgarkhaneh, M. B., Moehler, R., & Moradinia, S. F. (2023) · Smart Cities · doi:10.3390/smartcities6020040 · Cited by 58
Fog computing as enabler for the Industrial Internet of Things
Steiner, W., & Poledna, S. (2016) · e+i Elektrotechnik und Informationstechnik · doi:10.1007/s00502-016-0438-2 · Cited by 56
Efficient certificateless access control for industrial Internet of Things
Li, F., Hong, J., & Omala, A. A. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2016.12.036 · Cited by 55
Journal of Computer Networks and Communications
(2012) · Journal of Computer Networks and Communications · doi:10.1155/jcnc · Cited by 54
Security Enhancements to System on Chip Devices for IoT Perception Layer
Sudeendra Kumar, K., Sahoo, S., Mahapatra, A., Swain, A. K., & Mahapatra, K. (2017) · IEEE International Symposium on Nanoelectronic and Information Systems (iNIS) · doi:10.1109/inis.2017.39 · Cited by 53
Blockchain based privacy-preserving software updates with proof-of-delivery for Internet of Things
Zhao, Y., Liu, Y., Tian, A., Yu, Y. H., & Du, X. (2019) · Journal of Parallel and Distributed Computing · doi:10.1016/j.jpdc.2019.06.001 · Cited by 53
Smart card-based secure authentication protocol in multi-server IoT environment
Bae, W.-I., & Kwak, J. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-017-5548-2 · Cited by 51
Detection of Botnet Attacks against Industrial IoT Systems by Multilayer Deep Learning Approaches
Mudassir, M., Ünal, D., Hammoudeh, M. A. A., & Azzedin, F. (2022) · Wireless Communications and Mobile Computing · doi:10.1155/2022/2845446 · Cited by 51
IoT Architectures and Its Security: A Review
Kakkar, L., Gupta, D., Saxena, S., & Tanwar, S. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-15-9689-6_10 · Cited by 50
The future of data privacy and security concerns in Internet of Things
Solangi, Z. A., Solangi, Y. A., Chandio, S., Aziz, M. S. A., Hamzah, M. S., & Shah, A. (2018) · IEEE International Conference on Innovative Research and Development (ICIRD) · doi:10.1109/icird.2018.8376320 · Cited by 49
IoT security vulnerabilities and predictive signal jamming attack analysis in LoRaWAN
Ingham, M., Marchang, J., & Bhowmik, D. (2020) · IET Information Security · doi:10.1049/iet-ifs.2019.0447 · Cited by 49
Survey on IoT: Security Threats and Applications
Ahmad, I., Niazy, M. S., Ziar, R. A., & Khan, S. (2020) · Journal of Robotics and Control (JRC) · doi:10.18196/jrc.2150 · Cited by 49
A SURVEY ON AUTHENTICATION ATTACKS AND COUNTERMEASURES IN A DISTRIBUTED ENVIRONMENT
Jesudoss, A. (2014) · Cited by 48
Ioulianou, P. P., Vassilakis, V. G., & Shahandashti, S. F. (2022) · Journal of Cybersecurity and Privacy · doi:10.3390/jcp2010009 · Cited by 47
Recent Advances and Countermeasures Against Various Attacks in IoT Environment
Gautam, S., Malik, A., Singh, N., & Kumar, S., V (2019) · doi:10.1109/icspc46172.2019.8976527 · Cited by 46
Security of Distributed Intelligence in Edge Computing: Threats and Countermeasures
Ansari, M. S., Alsamhi, S. H., Qiao, Y., Ye, Y., & Lee, B. (2020) · Palgrave studies in digital business & enabling technologies · doi:10.1007/978-3-030-41110-7_6 · Cited by 46
DeBot: A deep learning-based model for bot detection in industrial internet-of-things
Jayalaxmi, P. L. S., Kumar, G., Saha, R., Conti, M., Kim, T.-H., & Thomas, R. (2022) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2022.108214 · Cited by 46
Efficient biometric-based identity management on the Blockchain for smart industrial applications
Sarier, N. D. (2020) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2020.101322 · Cited by 44
Reconfigurable Intelligent Surface for Low-Latency Edge Computing in 6G
Dai, Y., Guan, Y. L., Leung, K. K., & Zhang, Y. (2021) · IEEE Wireless Communications · doi:10.1109/mwc.001.2100229 · Cited by 44
Protecting cyber physical production systems using anomaly detection to enable self-adaptation
Settanni, G., Skopik, F., Karaj, A., Wurzenberger, M., & Fiedler, R. (2018) · IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) · doi:10.1109/icphys.2018.8387655 · Cited by 42
Timestamp Scheme to Mitigate Replay Attacks in Secure ZigBee Networks
Farha, F., Ning, H., Yang, S., xu, J., Zhang, W., & Choo, K. R. (2020) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2020.3006905 · Cited by 42
Password Cracking with Brute Force Algorithm and Dictionary Attack Using Parallel Programming
Alkhwaja, I., Albugami, M., Alkhwaja, A., Alghamdi, M. A., Abahussain, H., Alfawaz, F., Almurayh, A., & Min‐Allah, N. (2023) · Applied Sciences · doi:10.3390/app13105979 · Cited by 42
Cloud Computing Security Case Studies and Research
Barron, C., Yu, H., & Zhan, J. Z. (2013) · Cited by 41
Key Distribution Protocol for Industrial Internet of Things Without Implicit Certificates
Eldefrawy, M. H., Pereira, N., & Gidlund, M. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2865212 · Cited by 41
A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT
Morales-Molina, C. D., Hernandez-Suarez, A., Sánchez-Pérez, G., Toscano, K., Perez-Meana, H. M., Olivares-Mercado, J., Portillo-Portillo, J., Sánchez, V., & Villalba, L. J. G. (2021) · Sensors · doi:10.3390/s21093173 · Cited by 41
Dwivedi, S. K., Amin, R., & Vollala, S. (2022) · Peer-to-Peer Networking and Applications · doi:10.1007/s12083-022-01376-7 · Cited by 41
Al-Hawawreh, M. S., & Sitnikova, E. (2019) · Military Communications and Information Systems Conference · doi:10.1109/milcis.2019.8930732 · Cited by 40
Perception layer security in the internet of things
Aarika, K., Bouhlal, M., Abdelouahid, R. A., Filali, S. E., & Benlahmar, E. H. (2020) · Procedia Computer Science · doi:10.1016/j.procs.2020.07.085 · Cited by 39
Simpson, S. V., & Nagarajan, G. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.06.052 · Cited by 39
Industrial cyber physical systems: A survey for control-engineering tools
Jbair, M., Ahmad, B., Ahmad, M. H., & Harrison, R. (2018) · IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) · doi:10.1109/icphys.2018.8387671 · Cited by 38
Anomaly Detection Methods for IIoT Networks
Zhou, L., & Guo, H. (2018) · IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) · doi:10.1109/soli.2018.8476769 · Cited by 38
Khurshid, A., Khan, A. N., Khan, F. G., Ali, M., Shuja, J., & Khan, A. U. R. (2018) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.4729 · Cited by 37
Javeed, D., Gao, T., Saeed, M. S., & Khan, M. T. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3288563 · Cited by 37
Deep Learning for Ransomware Detection
Tseng, A., Chen, Y.-C., YiHsiang, K., & Tsung-Nan, L. (2016) · IEICE Technical Report; IEICE Tech. Rep. · Cited by 36
Wormhole Attack Detection System for IoT Network: A Hybrid Approach
Bhosale, S., & Sonavane, S. S. (2021) · Wireless Personal Communications · doi:10.1007/s11277-021-09395-y · Cited by 36
RAD‐EI: A routing attack detection scheme for edge‐based Internet of Things environment
Wazid, M., Dsouza, P. R., Das, A. K., Vivekananda Bhat, K., Kumar, N., & Rodrigues, J. J. P. C. (2019) · International Journal of Communication Systems · doi:10.1002/dac.4024 · Cited by 35
Architecture, technologies and challenges for cyber-physical systems in industry 4.0
Hofer, F. (2018) · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · doi:10.1145/3239235.3239242 · Cited by 34
Fog-Based Distributed Intrusion Detection System Against False Metering Attacks in Smart Grid
Chekired, D. A., Khoukhi, L., & Mouftah, H. T. (2019) · International Conference on Communications · doi:10.1109/icc.2019.8761752 · Cited by 33
LUCON: Data Flow Control for Message-Based IoT Systems
Schuette, J., & Brost, G. S. (2018) · doi:10.1109/trustcom/bigdatase.2018.00052 · Cited by 33
Moisture Computing-Based Internet of Vehicles (IoV) Architecture for Smart Cities
Tufail, A., Namoun, A., Sen, A. A. A., Kim, K., Alrehaili, A., & Ali, A. (2021) · Sensors · doi:10.3390/s21113785 · Cited by 33
The DPC-Based Scheme for Detecting Selective Forwarding in Clustered Wireless Sensor Networks
Ding, J., Zhang, H., Guo, Z., & Wu, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3055026 · Cited by 32
A multi-point collaborative DDoS defense mechanism for IIoT environment
Huang, H., Ye, P., Hu, M., & Wu, J. (2022) · Digital Communications and Networks · doi:10.1016/j.dcan.2022.04.008 · Cited by 31
Flagged first, then by citations
7 of the 260 references couldn’t be matched to a known paper.
Research works printed but not linked: 10
- [12]Rabbani M.M. Dushku E. Vliegen J. Braeken A. Dragoni N. Mentens N. Reserve: Remote attestation of intermittent iot devices Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems Coimbra, Portugal 15–17 November 2021 578 580
- [59]Stallings W. Brown L. Computer Security Principles and Practice 3rd ed. Pearson Upper Saddle River, NJ, USA 2015
- [64]Wu H. Miao Y. Zhang P. Tian Y. Tian H. Resilience in Industrial Internet of Things Systems: A Communication Perspective arXiv 2022 2206.00217
- [79]Ghorbani A.A. Lu W. Tavallaee M. Network Intrusion Detection and Prevention Advances in Information Security Springer New York, NY, USA 2010 223p
- [119]Xing K. Srinivasan S.S.R. Rivera M.J.M. Li J. Cheng X. Attacks and countermeasures in sensor networks: A survey Network Security Springer Boston, MA, USA 2010 251 272
- [202]Allix K. Bissyandé T.F. Klein J. Le Traon Y. Androzoo: Collecting millions of android apps for the research community Proceedings of the 13th International Conference on Mining Software Repositories Austin, TX, USA 14–15 May 2016 468 471
- [205]Alhawi O.M. Baldwin J. Dehghantanha A. Leveraging machine learning techniques for windows ransomware network traffic detection Cyber Threat Intelligence Springer Cham, Switzerland 2018 93 106
- [208]Maiorca D. Mercaldo F. Giacinto G. Visaggio C.A. Martinelli F. R-PackDroid: API package-based characterization and detection of mobile ransomware Proceedings of the Symposium on Applied Computing Marrakech, Morocco 4–6 April 2017 1718 1723
- [209]Sgandurra D. Muñoz-González L. Mohsen R. Lupu E.C. Automated dynamic analysis of ransomware: Benefits, limitations and use for detection arXiv 2016 1609.03020
- [239]Lipps C. Herbst J. Schotten H.D. How to Dance Your Passwords: A Biometric MFA-Scheme for Identification and Authentication of Individuals in IIoT Environments Proceedings of the ICCWS 2021 16th International Conference on Cyber Warfare and Security Online 25–26 February 2021 168
Cited by
Sorted by citations
Machine Learning-Based Security Solutions for IoT Networks: A Comprehensive Survey
Alfahaid, A., Alalwany, E., Almars, A. M., Alharbi, F., Atlam, E.-S., & Mahgoub, I. (2025) · Sensors · doi:10.3390/s25113341 · Cited by 89
Sebestyen, H., Popescu, D. E., & Zmaranda, D. R. (2025) · Computers · doi:10.3390/computers14020061 · Cited by 68
Explainable AI for zero-day attack detection in IoT networks using attention fusion model
Krishnan, D. K., Singh, S., & Sugumaran, V. (2025) · Discover Internet of Things · doi:10.1007/s43926-025-00184-8 · Cited by 40
Firouzi, A., Dadkhah, S., Maret, S. A., & Ghorbani, A. A. (2025) · Electronics · doi:10.3390/electronics14204095 · Cited by 33
A Comprehensive Survey on Generative AI Solutions in IoT Security
López Delgado, J. L., & López Ramos, J. A. (2024) · Electronics · doi:10.3390/electronics13244965 · Cited by 33
Metadata
- Authors
- Alotaibi, B.
- Affiliations
- University of Tabuk (SA)
- Corresponding author
- Alotaibi, Bandar
- ORCID
- Alotaibi, Bandar
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2023-07-12
- Volume
- 23
- Issue
- 17
- Pages
- 7470-7470
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC10490764
- OpenAlex
- W4386220180
- Cited by
- 128
- References
- 260
- Citations by year
- 2026: 54 · 2025: 46 · 2024: 25 · 2023: 3
- FWCI
- 4.49
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Sensors (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Keywords
- Industrial Internet of Things, IIoT security, security requirements, cyberattacks, attack classification, security threats, artificial intelligence for security, edge computing, fog computing, manufacturing cybersecurity
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