@inproceedings{915a79b8a0fd46d8b4cc1457103a1f7b,
title = "Evaluation of Human Immune-Based IDPS Under DoS/DDoS Attacks",
abstract = "Typical intrusion detection and prevention systems (IDPS) require a lot of computing resources such as; CPU time, memory, and energy. However, some resources are not in abundance in fog computing (FC). FC is a computer networking paradigm where computing devices provide services to the user in place of the server. In our previous research, we proposed an IDPS that mimics the human immune behavior by using layers of defense that interact with one another to detect attacks aimed at the fog layer. This paper investigates how the proposed system adapts to denial of service (DoS) and distributed denial of service (DDoS) attacks. The results show that the system has an accuracy of 91.46\%. More importantly, the system can recover from both with the help of its intrusion prevention mechanism.",
keywords = "DDoS, DoS, Fog Computing, Human-Immune, Internet of Things, Intrusion Detection and Prevention System, Network Security",
author = "Farouq Aliyu and Tarek Sheltami and Marwan Abu-Amara and Mohamed Deriche and Ashraf Mahmoud",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Conference on Advances in Computing Research, ACR{\textquoteright}23 ; Conference date: 08-05-2023 Through 10-05-2023",
year = "2023",
doi = "10.1007/978-3-031-33743-7\_41",
language = "English",
isbn = "9783031337420",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "500--510",
editor = "Kevin Daimi and \{Al Sadoon\}, Abeer",
booktitle = "Proceedings of the 2023 International Conference on Advances in Computing Research (ACR{\textquoteright}23)",
address = "Germany",
}