A Multi-class Classification for Detection of IoT Network Attacks Using Machine Learning Models

Author:

Ashok Gadde,Serath Kommula,Gireesh Kumar T.

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Kumar, M., Yadav, S., Sharma, S.: Security in Internet of Things (IoT) using machine learning algorithms. In: Proceedings of the International Conference on Automation, Computational and Technology Management (ICACTM), pp. 232–236 (2019)

2. Thomas, A., Kumar, T.G., Mohan, A.K.: Neighbor attack detection in Internet of Things. In: 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), pp. 262–267. IEEE (2020)

3. Chunduri, H., Kumar, T.G., Sai Charan, P.V.: A multi class classification for detection of IoT botnet malware. In: 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), pp. 0458–0462. IEEE (2021). https://doi.org/10.1007/978-3-030-76776-1_2

4. Pallavi, S., Anantha Narayanan, V.: An overview of practical attacks on BLE based IoT devices and their security. In: 2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), pp. 1–6 (2020). https://doi.org/10.1109/icaccs.2019.8728448

5. Raakesh, M., Ananthanarayanan, V.: Machine learning based prediction analysis in intrusion detection. In: 2022 International Conference on Electronics and Renewable Systems (ICEARS), pp. 1153–1159. IEEE (2022)

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