Abstract
Denial-of-service (DoS) and distributed denial-of-service (DDoS) is one of the most popular and easy-to-implement attacks targeting online systems and networks. This paper presents a system for detecting DoS attacks in a network using the dendritic cell algorithm (DCA). The proposed system classifies incoming network traffic into either of two classes: “normal” or “DoS attack.” This paper investigates some common DoS/DDoS attacks that target communication networks, and how these attacks can be detected using the Dendritic Cell Algorithm (DCA) which is an Artificial Immune System (AIS)-based algorithm. The proposed detection system is evaluated using the popular NSL-KDD dataset. Our results show that our system is very effective in detecting DoS/DDoS attacks with very high accuracy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
