IoMT malware detection approaches: analysis and research challenges
Open accessAbstract
The advancement in Information and Communications Technology (ICT) has changed the entire paradigm of computing. Because of such advancement, we have new types of computing and communication environments, for example, Internet of Things (IoT) that is a collection of smart IoT devices. The Internet of Medical Things (IoMT) is a specific type of IoT communication environment which deals with communication through the smart healthcare (medical) devices. Though IoT communication environment facilitates and supports our day-to-day activities, but at the same time it has also certain drawbacks as it suffers from several security and privacy issues, such as replay, man-in-the-middle, impersonation, privileged-insider, remote hijacking, password guessing and denial of service (DoS) attacks, and malware attacks. Among these attacks, the attacks which are performed through the malware botnet (i.e., Mirai) are the malignant attacks. The existence of malware botnets leads to attacks on confidentiality, integrity, authenticity and availability of the data and other resources of the system. In presence of such attacks, the sensitive data of IoT communication may be disclosed, altered or even may not be available to the authorized users. Therefore, it becomes essential to protect the IoT/IoMT environment from malware attacks. In this review paper, we first perform the study of various types of malware attacks, and their symptoms. We also discuss some architectures of IoT environment along with their applications. Next, a taxonomy of security protocols in IoT environment is provided. Moreover, we conduct a comparative study on various existing schemes for malware detection and prevention in IoT environment. Finally, some future research challenges and directions of malware detection in IoT/IoMT environment are highlighted.
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The work of Wazid et al. (2019) revealed several malware attacks on IoMT systems, targeting data confidentiality, integrity, authenticity, and data availability.
“The work of (Wazid et al., 2019) has revealed several malware attacks on IoMT systems, targeting the security requirements, namely data confidentiality, integrity, authenticity, to data availability.”
From IoMT amid COVID-19 pandemic: Application, architecture, technology, and security (2021) · cites this paper as Wazid et al., 2019
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1 retracted
Abdel‐Basset, M., Manogaran, G., & Mohamed, M. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.04.051 · Cited by 429 · see citing works
RetractedCryptography and Network Security: Principles and Practice
Stallings, W. (1998) · Cited by 4,407 · see citing works
The Internet of Things for Health Care: A Comprehensive Survey
Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K.-S. (2015) · IEEE Access · doi:10.1109/access.2015.2437951 · Cited by 3,199 · see citing works
Random key predistribution schemes for sensor networks
Chan, H., Perrig, A., & Song, D. S. (2004) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/secpri.2003.1199337 · Cited by 2,837 · see citing works
SPINS: Security Protocols for Sensor Networks
Perrig, A., Szewczyk, R., Tygar, J. D., Wen, V. S. H., & Culler, D. (2002) · Wireless Networks · doi:10.1023/a:1016598314198 · Cited by 2,257 · see citing works
DDoS in the IoT: Mirai and Other Botnets
Kolias, C., Kambourakis, G., Stavrou, A., & Voas, J. (2017) · Computer · doi:10.1109/mc.2017.201 · Cited by 1,892 · see citing works
Examining smart-card security under the threat of power analysis attacks
Messerges, T. S., Dabbish, E. A., & Sloan, R. H. (2002) · IEEE Transactions on Computers · doi:10.1109/tc.2002.1004593 · Cited by 1,692 · see citing works
N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders
Meidan, Y., Bohadana, M., Mathov, Y., Mirsky, Y., Shabtai, A., Breitenbacher, D., & Elovici, Y. (2018) · IEEE Pervasive Computing · doi:10.1109/mprv.2018.03367731 · Cited by 1,668 · see citing works
An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges
Elijah, O., Rahman, T. A., Orikumhi, I., Leow, C. Y., & Hindia, M. H. D. N. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2844296 · Cited by 1,477 · see citing works
A key-management scheme for distributed sensor networks
Eschenauer, L., & Gligor, V. D. (2002) · Proceedings of the ACM Conference on Computer and Communications Security · doi:10.1145/586115.586117 · Cited by 1,446 · see citing works
Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk
Ayaz, M., Uddin, M. A., Sharif, Z., Mansour, A., & Aggoune, E. M. (2019) · IEEE Access · doi:10.1109/access.2019.2932609 · Cited by 1,319 · see citing works
A pairwise key pre-distribution scheme for wireless sensor networks
Du, W. K., Deng, J. W., Han, Y. S., & Varshney, P. K. (2003) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/948109.948118 · Cited by 1,116 · see citing works
Perfectly-Secure Key Distribution for Dynamic Conferences
Blundo, C., Santis, A. D., Herzberg, A., Kutten, S., Vaccaro, U., & Yung, M. M. (1993) · Lecture notes in computer science · doi:10.1007/3-540-48071-4_33 · Cited by 1,030 · see citing works
A key management scheme for wireless sensor networks using deployment knowledge
Du, W. K., Deng, J. W., Han, Y. S., Chen, S., & Varshney, P. K. (2004) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2004.1354530 · Cited by 924 · see citing works
A Survey of Intrusion Detection Systems in Wireless Sensor Networks
Bütün, İ., Morgera, S. D., & Sankar, R. T. (2013) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.050113.00191 · Cited by 840 · see citing works
Establishing pairwise keys in distributed sensor networks
Liu, D., Ning, P., & Li, R. (2005) · ACM Transactions on Information and System Security · doi:10.1145/1053283.1053287 · Cited by 814 · see citing works
Zhu, S., Setia, S. K., & Jajodia, S. (2006) · ACM Transactions on Sensor Networks · doi:10.1145/1218556.1218559 · Cited by 668 · see citing works
Robust Intelligent Malware Detection Using Deep Learning
Vinayakumar, R., Alazab, M., Soman, K. P., Poornachandran, P., & Venkatraman, S. (2019) · IEEE Access · doi:10.1109/access.2019.2906934 · Cited by 581 · see citing works
Secure Deduplication with Efficient and Reliable Convergent Key Management
Li, J., Chen, X., Li, M., Li, J., Lee, P. P. C., & Lou, W. (2013) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2013.284 · Cited by 548 · see citing works
A Multimodal Deep Learning Method for Android Malware Detection Using Various Features
Kim, T., Kang, B., Rho, M., Sezer, S., & Im, E. G. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2866319 · Cited by 522 · see citing works
Secure Signature-Based Authenticated Key Establishment Scheme for Future IoT Applications
Challa, S., Wazid, M., Das, A. K., Kumar, N., Reddy, A. G., Yoon, E., & Yoo, K.-Y. (2017) · IEEE Access · doi:10.1109/access.2017.2676119 · Cited by 451 · see citing works
Self-citationGatouillat, A., Badr, Y., Massot, B., & Sejdić, E. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2849014 · Cited by 433 · see citing works
Design of Secure User Authenticated Key Management Protocol for Generic IoT Networks
Wazid, M., Das, A. K., Odelu, V., Kumar, N., Conti, M., & Jo, M. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2780232 · Cited by 400 · see citing works
Self-citationWazid, M., Das, A. K., Kumar, N., Vasilakos, A. V., & Rodrigues, J. J. P. C. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2888821 · Cited by 384 · see citing works
Self-citationRobust Malware Detection for Internet of (Battlefield) Things Devices Using Deep Eigenspace Learning
Azmoodeh, A., Dehghantanha, A., & Choo, K. R. (2018) · IEEE Transactions on Sustainable Computing · doi:10.1109/tsusc.2018.2809665 · Cited by 379 · see citing works
Secure Remote User Authenticated Key Establishment Protocol for Smart Home Environment
Wazid, M., Das, A. K., Odelu, V., et al. (2017) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2017.2764083 · Cited by 372 · see citing works
Self-citationModeling the internet of things adoption barriers in food retail supply chains
Kamble, S., Gunasekaran, A., Parekh, H., & Joshi, S. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.02.020 · Cited by 366 · see citing works
Wei, W., Liu, F., & Mei, S. (2014) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2014.2376522 · Cited by 357 · see citing works
Lightweight Classification of IoT Malware Based on Image Recognition
Su, J., Vasconcellos, V. D., Prasad, S., Sgandurra, D., Feng, Y., & Sakurai, K. (2018) · IEEE Annual International Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac.2018.10315 · Cited by 351 · see citing works
A Novel Attribute-Based Access Control Scheme Using Blockchain for IoT
Ding, S., Cao, J. P., Li, C., Fan, K., & Li, H. (2019) · IEEE Access · doi:10.1109/access.2019.2905846 · Cited by 348 · see citing works
Privacy and Security in Internet of Things and Wearable Devices
Arias, O., Wurm, J., Hoang, K., & Jin, Y. (2015) · IEEE Transactions on Multi-Scale Computing Systems · doi:10.1109/tmscs.2015.2498605 · Cited by 337 · see citing works
Blockchain and IoT-based cognitive edge framework for sharing economy services in a smart city
Rahman, M. A., Rashid, M. M., Hossain, M. S., Hassanain, E., Alhamid, M. F., & Guizani, M. (2019) · IEEE Access · doi:10.1109/access.2019.2896065 · Cited by 333 · see citing works
Wazid, M., Bagga, P., Das, A. K., Shetty, S. S., Rodrigues, J. J. P. C., & Park, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2923611 · Cited by 253 · see citing works
Self-citationThe Mirai botnet and the IoT Zombie Armies
Kambourakis, G., Kolias, C., & Stavrou, A. (2017) · IEEE Military Communications Conference (MILCOM) · doi:10.1109/milcom.2017.8170867 · Cited by 243 · see citing works
Das, A. K., Wazid, M., Kumar, N., Vasilakos, A. V., & Rodrigues, J. J. P. C. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2877690 · Cited by 234 · see citing works
Self-citationDesign of secure key management and user authentication scheme for fog computing services
Wazid, M., Das, A. K., Kumar, N., & Vasilakos, A. V. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.09.017 · Cited by 233 · see citing works
Self-citationEnabling Cloud Storage Auditing With Key-Exposure Resistance
Yu, J., Ren, K., Wang, C., et al. (2015) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2015.2400425 · Cited by 227 · see citing works
Design of Secure and Lightweight Authentication Protocol for Wearable Devices Environment
Das, A. K., Wazid, M., Kumar, N., Khan, M. K., Choo, K. R., & Park, Y. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2753464 · Cited by 207 · see citing works
Self-citationProvably Secure ECC-Based Device Access Control and Key Agreement Protocol for IoT Environment
Das, A. K., Wazid, M., Yannam, A. R., Rodrigues, J. J. P. C., & Park, Y. (2019) · IEEE Access · doi:10.1109/access.2019.2912998 · Cited by 198 · see citing works
Self-citationAn end-to-end Internet of Things solution for Reverse Supply Chain Management in Industry 4.0
Garrido-Hidalgo, C., Olivares, T., Ramírez, F. J., & Roda-Sánchez, L. (2019) · Computers in Industry · doi:10.1016/j.compind.2019.103127 · Cited by 191 · see citing works
IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform
Yang, G., Jiang, M., Ouyang, W., Ji, G., Xie, H., Rahmani, A. M., Liljeberg, P., & Tenhunen, H. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2776351 · Cited by 185 · see citing works
Lightweight and Secure Session-Key Establishment Scheme in Smart Home Environments
Kumar, P., Gurtov, A., Iinatti, J., et al. (2015) · IEEE Sensors Journal · doi:10.1109/jsen.2015.2475298 · Cited by 183 · see citing works
Wu, F., Xu, L., Kumari, S., Li, X., Shen, J., Choo, K. R., Wazid, M., & Das, A. K. (2016) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.12.008 · Cited by 182 · see citing works
Self-citationGroup-based key pre-distribution in wireless sensor networks
Liu, D., Ning, P., & Du, W. K. (2005) · doi:10.1145/1080793.1080798 · Cited by 181 · see citing works
Secure Message Communication Protocol Among Vehicles in Smart City
Dua, A., Kumar, N., Das, A. K., & Susilo, W. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2780183 · Cited by 180 · see citing works
Self-citationTaxonomy and analysis of security protocols for Internet of Things
Das, A. K., Zeadally, S., & He, D. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.06.027 · Cited by 180 · see citing works
Self-citationEfficient Privacy-Aware Authentication Scheme for Mobile Cloud Computing Services
He, D., Kumar, N., Khan, M. K., Wang, L., & Shen, J. (2016) · IEEE Systems Journal · doi:10.1109/jsyst.2016.2633809 · Cited by 172 · see citing works
Rudd, E. M., Rozsa, A., Günther, M., & Boult, T. E. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2636078 · Cited by 167 · see citing works
Anomaly intrusion detection in wireless sensor networks
Bhuse, V., & Gupta, A. K. (2006) · Journal of High Speed Networks · doi:10.3233/hsn-2006-276 · Cited by 161 · see citing works
Yanambaka, V. P., Mohanty, S. P., Kougianos, E., & Puthal, D. (2019) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2019.2926192 · Cited by 160 · see citing works
EDIMA: Early Detection of IoT Malware Network Activity Using Machine Learning Techniques
Kumar, A., & Lim, T. J. (2019) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2019.8767194 · Cited by 159 · see citing works
Secure Three-Factor User Authentication Scheme for Renewable-Energy-Based Smart Grid Environment
Wazid, M., Das, A. K., Kumar, N., & Rodrigues, J. J. P. C. (2017) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2017.2732999 · Cited by 153 · see citing works
Self-citationDecision-Making for Electricity Retailers: A Brief Survey
Yang, J., Zhao, J., Luo, F., et al. (2017) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2017.2651499 · Cited by 147 · see citing works
Secure Key Agreement and Key Protection for Mobile Device User Authentication
Wu, L., Wang, J., Choo, K. R., & He, D. (2018) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2018.2850299 · Cited by 146 · see citing works
A Novel Authentication and Key Agreement Scheme for Implantable Medical Devices Deployment
Wazid, M., Das, A. K., Kumar, N., Conti, M., & Vasilakos, A. V. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2721545 · Cited by 144 · see citing works
Self-citationAnonymous Secure Framework in Connected Smart Home Environments
Kumar, P., Braeken, A., Gurtov, A., et al. (2017) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2016.2647225 · Cited by 142 · see citing works
A Multimodal Malware Detection Technique for Android IoT Devices Using Various Features
Kumar, R., Zhang, X., Wang, W., et al. (2019) · IEEE Access · doi:10.1109/access.2019.2916886 · Cited by 141 · see citing works
Applying Big Data for Intelligent Agriculture-Based Crop Selection Analysis
Tseng, F., Cho, H., & Wu, H.-T. (2019) · IEEE Access · doi:10.1109/access.2019.2935564 · Cited by 135 · see citing works
A survey on dynamic mobile malware detection
Yan, P., & Yan, Z. (2017) · Software Quality Journal · doi:10.1007/s11219-017-9368-4 · Cited by 132 · see citing works
Tysowski, P. K., & Hasan, M. A. (2013) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2013.11 · Cited by 121 · see citing works
Wang, D., Cheng, H., He, D., & Wang, P. (2016) · IEEE Systems Journal · doi:10.1109/jsyst.2016.2585681 · Cited by 116 · see citing works
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 · see citing works
Tripathy, A. K., Tripathy, P. K., Ray, N. K., et al. (2018) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2018.2797758 · Cited by 113 · see citing works
EveDroid: Event-Aware Android Malware Detection Against Model Degrading for IoT Devices
Lei, T., Qin, Z., Wang, Z., et al. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2909745 · Cited by 110 · see citing works
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 109 · see citing works
IoT Botnet Detection Approach Based on PSI graph and DGCNN classifier
Nguyen, H., Ngo, Q.-D., & Le, V.-H. (2018) · IEEE International Conference on Information Communication and Signal Processing (ICICSP) · doi:10.1109/icicsp.2018.8549713 · Cited by 97 · see citing works
Analysis of Mirai malicious software
Sinanovic, H., & Mrdović, S. (2017) · International Conference on Software, Telecommunications and Computer Networks (SoftCOM) · doi:10.23919/softcom.2017.8115504 · Cited by 94 · see citing works
An Efficient Hybrid Anomaly Detection Scheme Using K-Means Clustering for Wireless Sensor Networks
Wazid, M., & Das, A. K. (2016) · Wireless Personal Communications · doi:10.1007/s11277-016-3433-3 · Cited by 92 · see citing works
Self-citationEfficient pairwise key establishment and management in static wireless sensor networks
Cheng, Y., & Agrawal, D. P. (2005) · doi:10.1109/mahss.2005.1542842 · Cited by 88 · see citing works
Das, A. K. (2012) · International Journal of Information Security · doi:10.1007/s10207-012-0162-9 · Cited by 78 · see citing works
Self-citationMobile Banking: Evolution and Threats: Malware Threats and Security Solutions
Wazid, M., Zeadally, S., & Das, A. K. (2019) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2018.2881291 · Cited by 78 · see citing works
Self-citationDesign of sinkhole node detection mechanism for hierarchical wireless sensor networks
Wazid, M., Das, A. K., Kumari, S., et al. (2016) · Security and Communication Networks · doi:10.1002/sec.1652 · Cited by 69 · see citing works
Self-citationLightweight Node-level Malware Detection and Network-level Malware Confinement in IoT Networks
Dinakarrao, S. M. P., Sayadi, H., Makrani, H. M., et al. (2019) · Design, Automation, and Test in Europe · doi:10.23919/date.2019.8715057 · Cited by 65 · see citing works
Wang, X., Wang, L., Li, Y., & Gai, K. (2018) · IEEE Access · doi:10.1109/access.2018.2856896 · Cited by 59 · see citing works
LACS: A Lightweight Label-Based Access Control Scheme in IoT-Based 5G Caching Context
Wang, Q., Chen, D., Zhang, N., Qin, Z., & Qin, Z. (2017) · IEEE Access · doi:10.1109/access.2017.2678510 · Cited by 54 · see citing works
Provably secure biometric‐based user authentication and key agreement scheme in cloud computing
Wazid, M., Das, A. K., Kumari, S., et al. (2016) · Security and Communication Networks · doi:10.1002/sec.1591 · Cited by 47 · see citing works
Self-citationA Secure Group-Based Blackhole Node Detection Scheme for Hierarchical Wireless Sensor Networks
Wazid, M., & Das, A. K. (2016) · Wireless Personal Communications · doi:10.1007/s11277-016-3676-z · Cited by 44 · see citing works
Self-citationAuthentication Protocols for Implantable Medical Devices: Taxonomy, Analysis and Future Directions
Challa, S., Wazid, M., Das, A., & Khan, M. (2018) · IEEE Consumer Electronics Magazine · doi:10.1109/mce.2017.2720193 · Cited by 42 · see citing works
Self-citationTakase, H., Kobayashi, R., Kato, M., et al. (2019) · International Journal of Information Security · doi:10.1007/s10207-019-00437-y · Cited by 42 · see citing works
A Remote Monitoring and Diagnosis Method Based on Four-Layer IoT Frame Perception
Li, J., Liu, Y., Xie, J., et al. (2019) · IEEE Access · doi:10.1109/access.2019.2945076 · Cited by 38 · see citing works
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 · see citing works
Self-citationuCloud: a user‐centric key management scheme for cloud data protection
Kao, Y., Huang, K., Gu, H., et al. (2013) · IET Information Security · doi:10.1049/iet-ifs.2012.0198 · Cited by 33 · see citing works
Wazid, M., Das, A. K., & Lee, J.-H. (2019) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2019.02.004 · Cited by 31 · see citing works
Self-citationProjection of RFID-Obtained Product Information on a Retail Stores Indoor Panoramas
Nur, K. M., Morenza-Cinos, M., Carreras, A., et al. (2015) · IEEE Intelligent Systems · doi:10.1109/mis.2015.90 · Cited by 30 · see citing works
Zhou, W., & Yu, B. (2018) · China Communications · doi:10.1109/cc.2018.8300282 · Cited by 29 · see citing works
Alotaibi, S. S. (2018) · IEEE Access · doi:10.1109/access.2018.2884541 · Cited by 29 · see citing works
Smartphone malware detection model based on artificial immune system
Wu, B. Y., Lu, T., Zheng, K., et al. (2014) · China Communications · doi:10.1109/cc.2014.7022530 · Cited by 25 · see citing works
Using Auxiliary Sensors for Pairwise Key Establishment in WSN
Dong, Q., & Liu, D. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-72606-7_22 · Cited by 24 · see citing works
An Integrated Architecture for IoT Malware Analysis and Detection
Liu, Z., Zhang, L., Ni, Q.-Y., et al. (2019) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-030-14657-3_14 · Cited by 24 · see citing works
Data Security in the Smart Grid Environment
Das, A. K., & Zeadally, S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-08-102592-5.00013-2 · Cited by 23 · see citing works
Self-citationIoT honeypot: A multi-component solution for handling manual and Mirai-based attacks
Semic, H., & Mrdović, S. (2017) · doi:10.1109/telfor.2017.8249458 · Cited by 21 · see citing works
Clincy, V. A., & Shahriar, H. (2019) · IEEE Annual Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac.2019.00141 · Cited by 16 · see citing works
Kelley, T., & Furey, E. (2018) · Irish Signals and Systems Conference · doi:10.1109/issc.2018.8585344 · Cited by 15 · see citing works
SmartCrowd: Decentralized and Automated Incentives for Distributed IoT System Detection
Wu, B., Xu, K., Li, Q. L., Liu, Z., Hu, Y., Zhang, Z., Du, X., Liu, B., & Ren, S. (2019) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2019.00113 · Cited by 15 · see citing works
ECPKS: An Improved Location-Aware Key Management Scheme in Static Sensor Networks
Das, A. K. (2008) · doi:10.6633/ijns.200811.7(3).07 · Cited by 13 · see citing works
Self-citationIoT Applications in Agriculture
Bansal, N. (2020) · Apress eBooks · doi:10.1007/978-1-4842-6041-8_6 · Cited by 13 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- S. Zhu, S. Setia, and S. Jajodia, ''LEAP+: Efficient security mechanisms for large-scale distributed sensor networks,'' ACM Trans. Sensor Netw., vol. 2, no. 4, pp. 500-528, Nov. 2006.
- A. K. Das, ''An identity-based random key pre-distribution scheme for direct key establishment to prevent attacks in wireless sensor networks,'' Int. J. Netw. Secur., vol. 6, no. 2, pp. 134-144, 2008.
- Design, Autom. Test Eur. Conf. Exhib. (DATE), Florence, Italy, Mar. 2019, pp. 776-781.
- J. Su, D. V. Vasconcellos, S. Prasad, S. Daniele, Y. Feng, and K. Sakurai, ''Lightweight classification of IoT malware based on image recognition,'' in Proc. 42nd IEEE Annu. Comput. Softw. Appl. Conf. (COMPSAC), Tokyo, Japan, vol. 2, Jul. 2018, pp. 664-669.
- MOHAMMAD WAZID (S'15-M'17) received the M.Tech. degree in computer network engineer- ing from Graphic Era University, Dehradun, India, and the Ph.D. degree in computer science and engi- neering from the International Institute of Informa- tion Technology, Hyderabad, India. He is currently an Associate Professor with the Department of Computer Science and Engineering, Graphic Era University. Prior to this, he was an Assistant Pro- fessor with the Department of Computer Science and Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, India. He was also a Postdoctoral Researcher with the Cyber Security and Networks Lab, Innopolis University, Innop- olis, Russia. His current research interests include security, remote user authentication, the Internet of Things (IoT), and cloud computing. He has published more than 60 articles in international journals and conferences in the above areas. He was a recipient of the University Gold Medal and the Young Scientist Award by UCOST, Department of Science and Technology, Government of Uttarakhand, India. He has also received the recognition of ''Best Reviewer of 2019'' from ICT Express (Elsevier) journal.
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Sorted by citations
R.M., S. P., Maddikunta, P. K. R., M., P., Koppu, S., Gadekallu, T. R., Chowdhary, C. L., & Alazab, M. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.05.048 · Cited by 470 · see citing works
IoMT amid COVID-19 pandemic: Application, architecture, technology, and security
Mohd Aman, A. H., Hassan, W. H., Sameen, S., Attarbashi, Z. S., Alizadeh, M., & Latiff, L. A. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102886 · Cited by 237 · see citing works
Rasool, R. U., Ahmad, H. F., Rafique, W., Qayyum, A., & Qadir, J. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2022.103332 · Cited by 177 · see citing works
Security Vulnerabilities and Intelligent Solutions for IoMT Systems
Jeyavel, J., Parameswaran, T., Mannan, J. M., & Hariharan, U. (2021) · Internet of Things · doi:10.1007/978-3-030-63937-2_10 · Cited by 21 · see citing works
Towards a secure ITS: Overview, challenges and solutions
Sleem, L., Noura, H. N., & Couturier, R. (2020) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102637 · Cited by 21 · see citing works
- Authors
- Wazid, M., Das, A. K., Rodrigues, J. J. P. C., Shetty, S., & Park, Y.
- Affiliations
- Graphic Era University (IN)
- International Institute of Information Technology, Hyderabad (IN)
- Universidade Federal do Piauí (BR)
- Old Dominion University (US)
- Kyungpook National University (KR)
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 182459-182476
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2996143878
- Cited by
- 200
- References
- 96
- Citations by year
- 2026: 19 · 2025: 30 · 2024: 31 · 2023: 39 · 2022: 34 · 2021: 34 · 2020: 13
- FWCI
- 12.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- ODU Digital Commons (Old Dominion University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Research Foundation of Korea (2017R1A2B1002147)
- Fundação para a Ciência e a Tecnologia
- Brazilian National Council for Scientific and Technological Development (309335/2017-5)
- Office of the Assistant Secretary of Defense for Research and Engineering [OASD (R&E)] (FA8750-15-2-0120)
- Topics
- Physical Sciences › Computer Science › Signal Processing › Advanced Malware Detection Techniques
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- Internet of Medical Things, malware detection, Mirai botnet, Internet of Things security, smart healthcare devices, security protocols, malware protection, denial-of-service attacks, privacy attacks, research challenges
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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