Mitigation of attack patterns based on routing reliance approach in MANETs
T. Saravanan, N. Nithya
Abstract
The process of achieving appropriate routing is a major crisis in network modeling where Mobile ad-hoc Networks (MANETs) possess an adversarial network because of the lack in appropriate infrastructure, transmission nature, and dynamical topology. These features trends to make effectual modeling of routing to be more challenging. This work proposes Patterns for Routing Reliance (PRR) approach by adopting Support Vector Machine (SVM) that replicates cognitive process and relies over the measurement of trust-level of data to avoid diverse routing disruption attacks. Here, mobile nodes pretends to share the reliable information and examines the trustful information based on its cognitive manner. However, the nodes are dynamically evolves with the elimination of malicious factors. The most effectual characteristics of PRR are that they may not compromise with the internal attackers even though it is aware of security mechanisms. This work evaluates the performance of PRR under diverse routing based attack disruption scenario. The simulation is done with MATLAB environment and the PRR approach pretends to improve the scalability and fulfills the effectual routing mechanism during occurrence of attacks over MANET.