Fuzzy Based Detection and Prediction of DDoS Attacks in IEEE 802.15.4 Low Rate Wireless Personal Area Network
Selvarajan Saraswathi · 2013
Detection and Prediction mechanism against distributed denial of service (DDoS) attacks is a critical component of any security system in which, these attacks can affect the availability of a node or an entire network. In this work, we focus the detection and prediction mechanism against DDoS attacks in IEEE 802.15.4 using Fuzzy logic system. The main contribution of Fuzzy based detection and prediction system (FBDPS) is to detect the DDoS attackers by comparing the energy consumption of sensor nodes. The nodes with abnormal energy consumptions are identified as malicious attacker. Furthermore, FBDPS is designed to distinguish the types of DDoS attack according to the energy consumption rate of the malicious nodes. By stimulation results, we finalized potential areas in DDoS attacks and provide evidence of effectiveness for detection and prediction of DDoS attacks with improved detection rate.