A Detection Approach for IoT Traffic-Based DDoS Attacks

Author:

Shukla PraveenORCID,Krishna C. RamaORCID,Patil Nilesh VishwasraoORCID

Publisher

Springer Nature Switzerland

Reference32 articles.

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2. Vailshery, L.S.: Global IoT end-user spending worldwide 2017–2025 (2021). https://www.statista.com/statistics/976313/global-iot-market-size/

3. Jan, S.U., Ahmed, S., Shakhov, V., Koo, I.: Toward a lightweight intrusion detection system for the internet of things. IEEE Access 7, 42450–42471 (2019)

4. Nivaashini, M., Thangaraj, P.: A framework of novel feature set extraction-based intrusion detection system for internet of things using hybrid machine learning algorithms. In: 2018 International Conference on Computing, Power and Communication Technologies (GUCON), pp. 44–49 (2018)

5. Thaseen, I.S., Poorva, B., Ushasree, P.S.: Network intrusion detection using machine learning techniques. In: 2020 International Conference on Emerging Trends in Information Technology and Engineering (ICETITE), pp. 1–7 (2020)

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