Universal Analysis and Detection Framework for Location Aided Routing
Xin Zhang, Xiaohong Li, Zhiyong Feng, Guangquan Xu · 2016
In the MANETs (Mobile Ad Hoc Networks), attack detection in Location Aided Routing (LAR) has become a challenging problem due to the dynamic network topology and diverse routing attacks. This paper proposes a universal framework to analyze and detect attack traces for various potential attack targets. In this framework, the attack targets are identified by matching key events, and a reverse search algorithm based on iteration is employed to obtain attack traces and attack conditions, which are guidance for generation of detection rules. Algebra for Wireless Mesh Networks (AWN) is extended to specify the core functionality of LAR, and detection rules are validated by NS-2 platform. The results demonstrate that the approach is correct and efficient.