A survey of intrusion detection in Internet of Things
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LLN nodes have to operate in real time.
“Also, those nodes have to operate in real time, which means that some care must be taken to ensure these requirements.”
From Mapping of Industrial IoT to IEC 62443 Standards (2025) · cites this paper as [64]
LLN nodes have limited computational capabilities.
“Bogaz Zarpelão et al. [64] warn that when implementing an IDS in an IIoT environment, one must consider the fact that the LLN (Low-Power and Lossy network) nodes have limited computational capabilities.”
From Mapping of Industrial IoT to IEC 62443 Standards (2025) · cites this paper as [64]
Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630 · see citing works
Internet of things: Vision, applications and research challenges
Miorandi, D., Sicari, S., Pellegrini, F. D., & Imrich Chlamtac, A. (2012) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.02.016 · Cited by 3,629 · see citing works
The Internet of Things (IoT): Applications, investments, and challenges for enterprises
Lee, I., & Lee, K. (2015) · Business Horizons · doi:10.1016/j.bushor.2015.03.008 · Cited by 2,903 · see citing works
The Constrained Application Protocol (CoAP)
Shelby, Z., Hartke, K., & Bormann, C. (2014) · doi:10.17487/rfc7252 · Cited by 2,605 · cited 2× · see citing works
“…(CoRE) Working Group proposed CoAP to be a transfer protocol (such as Hypertext Transfer Protocol - HTTP) for LLNs. CoAP allows request/ response transactions in LLNs as they occur in the traditional Web, enabling transmissions of gathered data from devices to users (Shelby et al., 2014).”
BackgroundSecurity, privacy and trust in Internet of Things: The road ahead
Sicari, S., Rizzardi, A., Grieco, L. A., & Coen‐Porisini, A. (2014) · Computer Networks · doi:10.1016/j.comnet.2014.11.008 · Cited by 2,341 · see citing works
Intrusion detection system: A comprehensive review
Liao, H.-J., Lin, C. R., Lin, Y.-C., & Tung, K.-Y. (2012) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2012.09.004 · Cited by 1,640 · see citing works
Internet of Things: Applications and Challenges in Technology and Standardization
Bandyopadhyay, D., & Sen, J. (2011) · Wireless Personal Communications · doi:10.1007/s11277-011-0288-5 · Cited by 1,507 · see citing works
The Internet of Things vision: Key features, applications and open issues
Borgia, E. (2014) · Computer Communications · doi:10.1016/j.comcom.2014.09.008 · Cited by 1,496 · see citing works
Testing Intrusion detection systems
McHugh, J. (2000) · ACM Transactions on Privacy and Security · doi:10.1145/382912.382923 · Cited by 1,490 · see citing works
Future Internet: The Internet of Things Architecture, Possible Applications and Key Challenges
Khan, R., Khan, S. U., Zaheer, R., & Khan, S. (2012) · International Conference on Frontiers of Information Technology (FIT) · doi:10.1109/fit.2012.53 · Cited by 1,392 · see citing works
Toward developing a systematic approach to generate benchmark datasets for intrusion detection
Shiravi, A., Shiravi, H., Tavallaee, M., & Ghorbani, A. A. (2012) · Computers & Security · doi:10.1016/j.cose.2011.12.012 · Cited by 1,345 · see citing works
Computer security threat monitoring and surveillance
Anderson, J. (1980) · Medical Entomology and Zoology · Cited by 1,342 · see citing works
Guide to Intrusion Detection and Prevention Systems (IDPS)
Scarfone, K. A., & Mell, P. M. (2007) · doi:10.6028/nist.sp.800-94 · Cited by 1,279 · see citing works
A survey on trust management for Internet of Things
Yan, Z., Zhang, P., & Vasilakos, A. V. (2014) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2014.01.014 · Cited by 1,155 · see citing works
Intrusion detection in wireless ad-hoc networks
Zhang, Y., & Lee, W. (2000) · Proceedings of the 28th Annual International Conference on Mobile Computing And Networking · doi:10.1145/345910.345958 · Cited by 1,105 · see citing works
Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology
Gomez, C., Oller, J., & Paradells, J. (2012) · Sensors · doi:10.3390/s120911734 · Cited by 967 · see citing works
SVELTE: Real-time intrusion detection in the Internet of Things
Raza, S., Wallgren, L., & Voigt, T. (2013) · Ad Hoc Networks · doi:10.1016/j.adhoc.2013.04.014 · Cited by 908 · see citing works
A survey of intrusion detection techniques in Cloud
Modi, C., Patel, D., Borisaniya, B., Patel, H. B., Patel, A., & Rajarajan, M. (2012) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2012.05.003 · Cited by 897 · 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
A survey of intrusion detection techniques for cyber-physical systems
Mitchell, R., & Chen, I.-R. (2014) · ACM Computing Surveys · doi:10.1145/2542049 · Cited by 768 · see citing works
WirelessHART: Applying Wireless Technology in Real-Time Industrial Process Control
Song, J., Han, S., Mok, A., Chen, D., Lucas, M., Nixon, M. S., & Pratt, W. (2008) · IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) · doi:10.1109/rtas.2008.15 · Cited by 619 · see citing works
Wireless home automation networks: A survey of architectures and technologies
Gómez, C., & Paradells, J. (2010) · IEEE Communications Magazine · doi:10.1109/mcom.2010.5473869 · Cited by 561 · see citing works
A survey on facilities for experimental internet of things research
Gluhak, A., Krčo, S., Nati, M., Pfisterer, D., Mitton, N., & Razafindralambo, T. (2011) · IEEE Communications Magazine · doi:10.1109/mcom.2011.6069710 · Cited by 541 · see citing works
An Analysis of the 1999 DARPA/Lincoln Laboratory Evaluation Data for Network Anomaly Detection
Mahoney, M. V., & Chan, P. K. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-45248-5_13 · Cited by 536 · see citing works
Compression Format for IPv6 Datagrams over IEEE 802.15.4-Based Networks
Thubert, P. (2011) · doi:10.17487/rfc6282 · Cited by 526 · see citing works
A survey of Internet-of-Things: Future vision, architecture, challenges and services
Singh, D., Tripathi, G., & Jara, A. J. (2014) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2014.6803174 · Cited by 511 · see citing works
A Survey of Intrusion Detection Systems in Wireless Sensor Networks
Neelankavil, S. W., & Minla, K. S. (2020) · Cited by 506 · see citing works
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 · see citing works
Intrusion detection in wireless ad hoc networks
Mishra, A., Nadkarni, K., & Patcha, A. (2004) · IEEE Wireless Communications · doi:10.1109/mwc.2004.1269717 · Cited by 445 · see citing works
An introduction to intrusion detection
Sundaram, A. (1996) · XRDS Crossroads The ACM Magazine for Students · doi:10.1145/332159.332161 · Cited by 347 · see citing works
Denial-of-Service detection in 6LoWPAN based Internet of Things
Kasinathan, P., Pastrone, C., Spirito, M. A., et al. (2013) · IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) · doi:10.1109/wimob.2013.6673419 · Cited by 321 · see citing works
A Survey on Intrusion Detection in Mobile Ad Hoc Networks
Anantvalee, T., & Wu, J. (2007) · Springer eBooks · doi:10.1007/978-0-387-33112-6_7 · Cited by 273 · see citing works
Computer and Information Security Handbook
(2017) · Network Security · doi:10.1016/s1353-4858(17)30090-9 · Cited by 256 · see citing works
Detection of sinkhole attacks for supporting secure routing on 6LoWPAN for Internet of Things
Cervantes, C., Poplade, D., Nogueira, M., & dos Santos, A. L. (2015) · IFIP/IEEE International Symposium on Integrated Network Management (IM) · doi:10.1109/inm.2015.7140344 · Cited by 243 · see citing works
False alarm minimization techniques in signature-based intrusion detection systems: A survey
Hubballi, N., & Suryanarayanan, V. (2014) · Computer Communications · doi:10.1016/j.comcom.2014.04.012 · Cited by 243 · see citing works
Real Time Intrusion and Wormhole Attack Detection in Internet of Things
Pongle, P., & Chavan, G. T. (2015) · International Journal of Computer Applications · doi:10.5120/21565-4589 · Cited by 217 · see citing works
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 · see citing works
Energy-Efficient Intelligent Street Lighting System Using Traffic-Adaptive Control
Shahzad, G., Yang, H., Ahmad, A. W., & Lee, C. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2557345 · Cited by 208 · see citing works
A Specification-Based IDS for Detecting Attacks on RPL-Based Network Topology
Le, A., Loo, J. K. K., Chai, K. K., & Aiash, M. (2016) · Information · doi:10.3390/info7020025 · Cited by 205 · see citing works
Evaluating Computer Intrusion Detection Systems
Milenkoski, A., Vieira, M. P. A., Kounev, S., Avritzer, A., & Payne, B. D. (2015) · ACM Computing Surveys · doi:10.1145/2808691 · Cited by 194 · see citing works
An experimental study of security and privacy risks with emerging household appliances
Notra, S., Siddiqi, M., Gharakheili, H. H., Sivaraman, V., & Boreli, R. (2014) · IEEE Conference on Communications and Network Security · doi:10.1109/cns.2014.6997469 · Cited by 191 · see citing works
Quantified security is a weak hypothesis: a critical survey of results and assumptions
Verendel, V. (2009) · Proceedings of the 2009 workshop on New security paradigms workshop · doi:10.1145/1719030.1719036 · Cited by 180 · see citing works
Verification, validation, and accreditation
Balcı, O. (2002) · Winter Simulation Conference · doi:10.1109/wsc.1998.744897 · Cited by 172 · see citing works
When HART goes wireless: Understanding and implementing the WirelessHART standard
Kim, A. N., Hekland, F., Petersen, S., et al. (2008) · IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) · doi:10.1109/etfa.2008.4638503 · Cited by 166 · see citing works
A survey of intrusion detection and prevention systems
Patel, A. M., Qassim, Q. S., & Wills, C. (2010) · Information Management & Computer Security · doi:10.1108/09685221011079199 · Cited by 148 · see citing works
Autonomic schemes for threat mitigation in Internet of Things
Ashraf, Q. M., & Habaebi, M. H. (2014) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2014.11.011 · Cited by 148 · see citing works
DEMO: An IDS framework for internet of things empowered by 6LoWPAN
Kasinathan, P., Costamagna, G., Khaleel, H., et al. (2013) · doi:10.1145/2508859.2512494 · Cited by 139 · see citing works
Sánchez, L., Galache, J. A., Gutiérrez, V., Hernández, J. M., Vercher, J. B., Gluhak, A., & García, T. P.-D. (2011) · doi:10.5281/zenodo.13149436 · Cited by 135 · see citing works
Ultra-lightweight deep packet anomaly detection for Internet of Things devices
Summerville, D. H., Zach, K. M., & Chen, Y. (2015) · IEEE International Performance, Computing, and Communications Conference · doi:10.1109/pccc.2015.7410342 · Cited by 135 · see citing works
An Easy to Deploy Street Light Control System Based on Wireless Communication and LED Technology
Elejoste, P., Angulo, I., Perallos, A., et al. (2013) · Sensors · doi:10.3390/s130506492 · Cited by 128 · see citing works
A Malicious Pattern Detection Engine for Embedded Security Systems in the Internet of Things
Oh, D., Kim, D., & Ro, W. W. (2014) · Sensors · doi:10.3390/s141224188 · Cited by 126 · see citing works
Specification-based IDS for securing RPL from topology attacks
Le, A., Loo, J. K. K., Luo, Y., et al. (2011) · IFIP Wireless Days · doi:10.1109/wd.2011.6098218 · Cited by 125 · see citing works
Learning Internet-of-Things Security "Hands-On"
Kolias, C., Stavrou, A., Voas, J. M., Bojanova, I., & Kuhn, R. (2016) · IEEE Security & Privacy · doi:10.1109/msp.2016.4 · Cited by 125 · see citing works
Security Considerations in the IP-based Internet of Things
García-Morchón, Ó., Kumar, S., Struik, R., Keoh, S. L., & Hummen, R. (2013) · Cited by 115 · see citing works
Computer and Information Security Handbook
(2013) · Elsevier eBooks · doi:10.1016/c2011-0-07051-5 · Cited by 111 · see citing works
Research on immunity-based intrusion detection technology for the Internet of Things
Liu, C., Yang, J., Chen, R., et al. (2011) · International Conference on Natural Computation (ICNC) · doi:10.1109/icnc.2011.6022060 · Cited by 110 · see citing works
Internet of things standards: who stands out from the crowd?
Meddeb, A. (2016) · IEEE Communications Magazine · doi:10.1109/mcom.2016.7514162 · Cited by 110 · see citing works
Policy and network-based intrusion detection system for IPv6-enabled wireless sensor networks
Amaral, J. P., Oliveira, L., Rodrigues, J. J. P. C., et al. (2014) · International Conference on Communications · doi:10.1109/icc.2014.6883583 · Cited by 98 · see citing works
Misra, S., Krishna, P. V., Agarwal, H., et al. (2011) · doi:10.1109/ithings/cpscom.2011.84 · Cited by 96 · see citing works
A cross-layer communication module for the Internet of Things
Han, C. Z., Jornet, J. M., Fadel, E. A., & Akyildiz, I. F. (2012) · Computer Networks · doi:10.1016/j.comnet.2012.10.003 · Cited by 96 · see citing works
Securing the IP-based internet of things with HIP and DTLS
García-Morchón, Ó., Keoh, S. L., Kumar, S., Moreno-Sánchez, P., Vidal-Meca, F., & Ziegeldorf, J. H. (2013) · ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) · doi:10.1145/2462096.2462117 · Cited by 92 · see citing works
Distributed internal anomaly detection system for Internet-of-Things
Thanigaivelan, N. K., Nigussie, E., Kanth, R. K., Virtanen, S., & Isoaho, J. (2016) · IEEE Consumer Communications and Networking Conference · doi:10.1109/ccnc.2016.7444797 · Cited by 91 · see citing works
Intrusion detection in mobile ad hoc networks: techniques, systems, and future challenges
Kumar, S., & Dutta, K. (2016) · Security and Communication Networks · doi:10.1002/sec.1484 · Cited by 85 · see citing works
Intrusion Detection Systems for Wireless Sensor Networks: A Survey
Farooqi, A. H., & Khan, F. A. (2009) · Communications in computer and information science · doi:10.1007/978-3-642-10844-0_29 · Cited by 84 · see citing works
A Lightweight Intrusion Detection Scheme Based on Energy Consumption Analysis in 6LowPAN
Lee, T.-H., Wen, C.-H., Chang, L.-H., et al. (2013) · Lecture notes in electrical engineering · doi:10.1007/978-94-007-7262-5_137 · Cited by 73 · see citing works
Analysis of the 1999 DARPA/Lincoln Laboratory IDS evaluation data with NetADHICT
Brown, C. D., Cowperthwaite, A., Hijazi, A., & Somayaji, A. B. (2009) · IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) · doi:10.1109/cisda.2009.5356522 · Cited by 72 · see citing works
Introduction to Intrusion Detection Systems
(2003) · Elsevier eBooks · doi:10.1016/b978-193226669-6/50021-5 · Cited by 70 · see citing works
The adequacy of LoRaWAN on smart grids: A comparison with RF mesh technology
Filho, H. G. S., Filho, J. P., & Moreli, V. L. (2016) · IEEE International Smart Cities Conference (ISC2) · doi:10.1109/isc2.2016.7580783 · Cited by 65 · see citing works
Intrusion alert prioritisation and attack detection using post-correlation analysis
Shittu, R., Healing, A., Ghanea‐Hercock, R., Bloomfield, R., & Rajarajan, M. (2015) · Computers & Security · doi:10.1016/j.cose.2014.12.003 · Cited by 64 · see citing works
Internet of things: Applications and challenges
Rabaiei, K. A., & Harous, S. (2016) · International Conference on Innovations in Information Technology · doi:10.1109/innovations.2016.7880054 · Cited by 62 · see citing works
Integration and evaluation of intrusion detection for CoAP in smart city applications
Krimmling, J., & Peter, S. (2014) · IEEE Conference on Communications and Network Security · doi:10.1109/cns.2014.6997468 · Cited by 56 · see citing works
Gupta, A., Pandey, O. J., Shukla, M., et al. (2013) · IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) · doi:10.1109/iccic.2013.6724156 · Cited by 48 · see citing works
Enhancing IDS performance through comprehensive alert post-processing
Spathoulas, G. P., & Katsikas, S. K. (2013) · Computers & Security · doi:10.1016/j.cose.2013.03.005 · Cited by 45 · see citing works
A critical evaluation of datasets for investigating IDSs and IPSs researches
Nehinbe, J. (2011) · International Conference on Computational Intelligence and Security · doi:10.1109/cis.2011.6169141 · Cited by 45 · see citing works
Attack Model and Detection Scheme for Botnet on 6LoWPAN
Cho, E. J., Kim, J. H., & Hong, C. S. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04492-2_66 · Cited by 41 · see citing works
On the Effectiveness of End-to-End Security for Internet-Integrated Sensing Applications
Granjal, J., Monteiro, E., & Silva, J. S. (2012) · IEEE International Conference on Green Computing and Communications · doi:10.1109/greencom.2012.23 · Cited by 37 · see citing works
A lightweight and secure TFTP protocol for smart environment
Isa, M. A. M., Mohamed, N. N., Hashim, H., et al. (2012) · doi:10.1109/iscaie.2012.6482117 · Cited by 33 · see citing works
Energy Efficiency - The Innovative Ways for Smart Energy, the Future Towards Modern Utilities
(2012) · InTech eBooks · doi:10.5772/2590 · Cited by 21 · see citing works
Methods for post-processing of alerts in intrusion detection: A survey
Spathoulas, G. P., & Katsikas, S. K. (2013) · DergiPark (Istanbul University) · Cited by 14 · see citing works
Model-Based Support for Information Technology Security Decision Making
Chrun, D. (2011) · University Libraries (University of Maryland) · Cited by 12 · see citing works
Computer and Information Security Handbook, Second Edition
Vacca, J. R. (2013) · Morgan Kaufmann Publishers Inc. eBooks · Cited by 8 · see citing works
Street Lighting System Based on Wireless Sensor Networks
Pantoni, R. P., da Fonseca, C. C., & Brandão, D. (2012) · InTech eBooks · doi:10.5772/48718 · Cited by 7 · see citing works
A Survey on Intrusion Detection Systems in Mobile Ad-hoc Networks
Sonika, H. R., & Poornnima, B. G. (2017) · IJARCCE · doi:10.17148/ijarcce.2017.63174 · Cited by 3 · see citing works
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A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security
Al-Garadi, M. A., Mohamed, A., Al-Ali, A. K., Du, X., Ali, I., & Guizani, M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2988293 · Cited by 1,392 · see citing works
A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems
Farris, I., Taleb, T., Khettab, Y., & Song, J. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2862350 · Cited by 402 · see citing works
Chained Anomaly Detection Models for Federated Learning: An Intrusion Detection Case Study
Preuveneers, D., Rimmer, V., Tsingenopoulos, I., Spooren, J., Joosen, W., & Ilie-Zudor, E. (2018) · Applied Sciences · doi:10.3390/app8122663 · Cited by 323 · see citing works
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 · see citing works
Securing internet of medical things systems: limitations, issues and recommendations
Yaacoub, J.-P. A., Noura, M., Noura, H. N., Salman, O., Yaacoub, E., Couturier, R., & Chehab, A. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2019.12.028 · Cited by 308 · see citing works
A Machine Learning Security Framework for Iot Systems
Bagaa, M., Taleb, T., Bernabe, J. B., & Skarmeta, A. (2020) · IEEE Access · doi:10.1109/access.2020.2996214 · Cited by 271 · see citing works
Moustafa, N., Koroniotis, N., Keshk, M., Zomaya, A. Y., & Tari, Z. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3280465 · Cited by 266 · see citing works
A Framework for Malicious Traffic Detection in IoT Healthcare Environment
Hussain, F., Abbas, S. G., Shah, G. A., Pires, I. M., Fayyaz, U. U., Shahzad, F., Garcia, N. M., & Zdravevski, E. (2021) · Sensors · doi:10.3390/s21093025 · Cited by 230 · see citing works
A lightweight supervised intrusion detection mechanism for IoT networks
Roy, S., Li, J., Choi, B.-J., & Bai, Y. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2021.09.027 · Cited by 192 · see citing works
Internet of things reference architectures, security and interoperability: A survey
Di Martino, B., Rak, M., Ficco, M., Esposito, A., Maisto, S. A., & Nacchia, S. (2018) · Internet of Things · doi:10.1016/j.iot.2018.08.008 · Cited by 148 · see citing works
A Lightweight IoT Intrusion Detection Model Based on Improved BERT-of-Theseus
Wang, Z., Li, J., Yang, S., Luo, X., Li, D., & Mahmoodi, S. (2024) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.122045 · Cited by 131 · see citing works
IoT reliability: a review leading to 5 key research directions
Moore, S. J., Nugent, C. D., Zhang, S., & Cleland, I. (2020) · CCF Transactions on Pervasive Computing and Interaction · doi:10.1007/s42486-020-00037-z · Cited by 106 · see citing works
A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems
Gaba, S., Budhiraja, I., Kumar, V., Martha, S., Khurmi, J., Singh, A., Singh, K. K., Askar, S. S., & Abouhawwash, M. (2024) · IEEE Access · doi:10.1109/access.2023.3349022 · Cited by 62 · see citing works
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 · see citing works
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Krzysztoń, M., & Marks, M. (2020) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2019.102041 · Cited by 25 · see citing works
Alsulami, H. (2022) · Computers and Electrical Engineering · doi:10.1016/j.compeleceng.2022.107870 · Cited by 21 · see citing works
Almalawi, A. (2025) · Sensors · doi:10.3390/s25072235 · Cited by 10 · see citing works
- Authors
- Zarpelão, B. B., Miani, R. S., Kawakani, C. T., & de Alvarenga, S. C.
- Affiliations
- Universidade Federal de Uberlândia (BR)
- Universidade Estadual de Londrina (BR)
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2017-04
- Volume
- 84
- Pages
- 25-37
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W2590373591
- Cited by
- 1,022
- References
- 83
- Citations by year
- 2026: 46 · 2025: 102 · 2024: 106 · 2023: 142 · 2022: 143 · 2021: 159 · 2020: 135 · 2019: 121 · 2018: 59 · 2017: 9
- FWCI
- 59.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Network and Computer Applications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- intrusion detection systems, Internet of Things security, IoT threats, resource-constrained devices, IDS classification
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