HDSL: A Hybrid Distributed Single-packet Low-storage IP Traceback Framework. (Dept. E)

Abstract

I-INTRODUCTIONhere is no doubt that many DDoS attacks have been reported daily all over the world, these attacks aim to hinder legitimate users from accessing a corporation services or resources, resulting in a revenue loss. The attackers rely on the fact that Internet routing infrastructure is mainly concerned by scalability rather security, since routers neither validate source IP address nor log information regarding the forwarded packets [1]. DDoS attack methods could be classified according to the number of attacking packets into flooding and vulnerability attack [2, 3]. In flooding attack, which is the most common, the attacker sends a huge number

The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework

“…To improve the accuracy and speed of the classification process, two techniques based on signatures [11,18] and deep learning are employed to classify suspicious packets executed at the controller plane. Signature-based systems basically use intermediate routers to compose unique patterns (signature) for every packet passing through the network [19]. An attack signature database stores the signatures of malicious packets, allowing them to be matched later against any attack packet containing a signature.…”