DDoS in the IoT: Mirai and Other Botnets

Botnets and Internet of Things Security

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Botnets: A survey

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Turning Internet of Things(IoT) into Internet of Vulnerabilities (IoV) : IoT BotnetsPreprint

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Securely Making "Things" Right

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Towards the development of realistic botnet dataset in the Internet of Things for network forensic analytics: Bot-IoT dataset

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A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security

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Security and privacy in smart farming: challenges and opportunities

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DÏoT: A Federated Self-learning Anomaly Detection System for IoT

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An experimental analysis of attack classification using machine learning in IoT networks

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Securing the Internet of Things: Challenges, threats and solutions

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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 survey of edge computing-based designs for IoT security

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Securing the Internet of Things in the Age of Machine Learning and Software-Defined Networking

Restuccia, F., D'Oro, S., & Melodia, T. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2846040 · Cited by 286 · see citing works

$\mathsf{LightChain}$: A Lightweight Blockchain System for Industrial Internet of Things

Liu, Y., Wang, K., Lin, Y., & Xu, W. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2904049 · Cited by 286 · see citing works

Internet of Things: Evolution, Concerns and Security Challenges

Malhotra, P., Singh, Y., Anand, P., Bangotra, D. K., Singh, P. K., & Hong, W.-C. (2021) · Sensors · doi:10.3390/s21051809 · Cited by 260 · see citing works

SCADA (supervisory control and data acquisition) systems: Vulnerability assessment and security recommendations

Upadhyay, D., & Sampalli, S. (2020) · Computers & Security · doi:10.1016/j.cose.2019.101666 · Cited by 242 · see citing works

IoMT malware detection approaches: analysis and research challenges

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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 · see citing works

IoT cyber risk: A holistic analysis of cyber risk assessment frameworks, risk vectors, and risk ranking process

Kandasamy, K., Srinivas, S., Achuthan, K., & Rangan, V. P. (2020) · EURASIP Journal on Information Security · doi:10.1186/s13635-020-00111-0 · Cited by 160 · see citing works

Machine-Learning-Based Darknet Traffic Detection System for IoT Applications

Abu Al-Haija, Q., Krichen, M., & Abu Elhaija, W. (2022) · Electronics · doi:10.3390/electronics11040556 · Cited by 120 · see citing works

Security intrusion detection using quantum machine learning techniques

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Risk-based automated assessment and testing for the cybersecurity certification and labelling of IoT devices

Matheu-García, S. N., Hernández-Ramos, J. L., Skarmeta, A. F., & Baldini, G. (2019) · Computer Standards & Interfaces · doi:10.1016/j.csi.2018.08.003 · Cited by 111 · see citing works

Intelligent Detection of IoT Botnets Using Machine Learning and Deep Learning

Kim, J., Shim, M., Hong, S., Shin, Y., & Choi, E. (2020) · Applied Sciences · doi:10.3390/app10197009 · Cited by 106 · see citing works

An Experimental Analysis of Security Vulnerabilities in Industrial IoT Devices

Jiang, X., Lora, M., & Chattopadhyay, S. (2020) · ACM Transactions on Internet Technology · doi:10.1145/3379542 · Cited by 101 · see citing works

Augmenting Zero Trust Network Architecture to enhance security in virtual power plants

Alagappan, A., Venkatachary, S. K., & Andrews, L. J. B. (2022) · Energy Reports · doi:10.1016/j.egyr.2021.11.272 · Cited by 81 · see citing works

IoVT: Internet of Vulnerable Things? Threat Architecture, Attack Surfaces, and Vulnerabilities in Internet of Things and Its Applications towards Smart Grids

Anand, P., Singh, Y., Selwal, A., Singh, P. K., Felseghi, R. A., & Raboaca, M. S. (2020) · Energies · doi:10.3390/en13184813 · Cited by 72 · see citing works

Attacks and Preventive Measures on Video Surveillance Systems: A Review

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Akamai DNS: Providing Authoritative Answers to the World's Queries

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BlockSIEM: Protecting Smart City Services through a Blockchain-based and Distributed SIEM

Botello, J. V., Mesa, A. P., Rodríguez, F. A., Díaz-López, D., Nespoli, P., & Mármol, F. G. (2020) · Sensors · doi:10.3390/s20164636 · Cited by 30 · 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

A Comprehensive Study of Mozi Botnet

Tu, T., Qin, J., Zhang, H., Chen, M., Xu, T., & Huang, Y. (2022) · International Journal of Intelligent Systems · doi:10.1002/int.22866 · Cited by 27 · see citing works

Automatic, verifiable and optimized policy-based security enforcement for SDN-aware IoT networks

Bringhenti, D., Yusupov, J., Zarca, A. M., Valenza, F., Sisto, R., Bernabe, J. B., & Skarmeta, A. (2022) · Computer Networks · doi:10.1016/j.comnet.2022.109123 · Cited by 26 · see citing works

Network Intrusion Detection System (NIDS) Based on Pseudo-Siamese Stacked Autoencoders in Fog Computing

Tu, S., Waqas, M., Badshah, A., Yin, M., & Abbas, G. (2023) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2023.3319953 · Cited by 22 · see citing works

Asset Management Method of Industrial IoT Systems for Cyber-Security Countermeasures

Matsumoto, N., Fujita, J., Endoh, H., Yamada, T., Sawada, K., & Kaneko, O. (2021) · Information · doi:10.3390/info12110460 · Cited by 13 · see citing works

Mozi IoT Malware and Its Botnets: From Theory To Real-World Observations

Sahota, J., & Vlajic, N. (2021) · 2021 International Conference on Computational Science and Computational Intelligence (CSCI) · doi:10.1109/csci54926.2021.00181 · Cited by 14 · see citing works

The role of Large Language Models in IoT security: A systematic review of advances, challenges, and opportunities

Jamshidi, S., Shahabi, N., Nikanjam, A., Nafi, K. W., Khomh, F., & Fung, C. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101735 · Cited by 11 · see citing works

Detection techniques of DDoS attacks: A survey

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Convolutional Neural Network-Based Automatic Diagnostic System for AL-DDoS Attacks Detection

Abdullayeva, F. J. (2022) · International Journal of Cyber Warfare and Terrorism · doi:10.4018/ijcwt.305242 · Cited by 4 · see citing works

Keynote III: Detection and traceback of DDoS attacks

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Packet Simulation of Distributed Denial of Service (DDoS) Attack and Recovery

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DDoS attack detection method based on feature extraction of deep belief network

Li, Y., Liu, B., Shang, Z., et al. (2019) · IOP Conference Series Earth and Environmental Science · doi:10.1088/1755-1315/252/3/032013 · Cited by 10 · see citing works