Effective Detection of DDoS Attack in IoT-Based Networks Using Machine Learning with Different Feature Selection Techniques

Author:

Deep Akash,Sood Manu

Publisher

Springer Nature Singapore

Reference20 articles.

1. Santhi Vandana T, Sreenivasa Ravi K (2018) A survey overview: on wireless body area network and its various applications. Int J Eng Technol 7(2.7):936

2. Abiodun OI, Abiodun EO, Alawida M et al (2021) A review on the security of the internet of things: challenges and solutions. Wireless Pers Commun 119:2603–2637

3. Fedrik D, Vinitha A, Vanitha B (2019) Review on vulnerabilities of IoT security. Int J Trend Sci Res Dev 3(4):1117–1119

4. Mohammed S (2021) A machine learning-based intrusion detection of DDoS attack on IoT devices. Int J Adv Trends Comput Sci Eng 2021:2792–2797

5. Radware (2013) DDoS survival handbook [PDF Document] [Online]. Available at: https://cupdf.com/document/ddos-survival-handbook.html. Accessed 2 May 2022

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