Mobile Ad Hoc Networks Intrusion Detection in Co-Operative Motion

As the number of wireless devices continues to increase rapidly, mobile ad hoc networking (MANET) has emerged as an exciting and significant technological advance. MANETs were susceptible to attacks because of their open media, continuously changing network design, cooperation mechanisms, lack of a protective measure and management point, and a coherent layer of attack. However, regular functioning frequently generates traffic corresponding to a "signature attack," which leads to false alerts. One of the significant disadvantages is the inability to identify new attacks without established signatures. In this article, we describe our efforts towards creating the capability for MANET intrusion detection (ID). Based on our previous works on outlier detection, we explore how Intrusion Detection in Partial Swarm Optimization (IDPSO) and Support vector Regression(SVR) may improve an anomaly detection method to give additional information about attack kinds and origins. We can use a basic formula to determine the attack type for many well-known assaults whenever an anomaly is detected.