Hybrid Algorithm to Detect DDoS Attacks in VANETs

摘要: Security and safety are fundamental issues in any wireless network. The problem becomes serious when the specified network is Vehicular Adhoc Network (VANET). VANET faces Distributed Denial of Service (DDoS) attacks, several vehicles carry out various types (DoS) attacks to disrupt normal functioning network, thereby endangering human lives. A highly efficient reliable algorithm required be developed detect prevent DDoS VANET. This paper presents a hybrid detection based on SVM kernel methods AnovaDot RBFDot for detecting VANETs. In this algorithm, features like collisions, packet drop, jitter etc. have been used simulate real time communication scenario where operating under conditions, as well attacks. These both training testing model proposed algorithm. performance compared with models single algorithms Accuracy, Gini, KS, MER H. experimental results show that superior RBFDot. also prove by combining algorithms, an effective can developed.