Paper Title
Neighbors Monitoring Scheme And Swarm Intelligence Based Cross–Layer Attacks Handling In MANET

Abstract
Cross-layer attacks are very stealthy and are difficult to prevent. These attacks exploits vulnerability of one layer and targets other layer causing serious degradation in end to end throughput, latency and connectivity. In this project, we propose a particle swarm optimization based detection and defense technique using Neighbors monitoring scheme to detect the cross-layer attacks and efficiently mitigate them. Using forward and backward agent’s record, we can find out whether a node is valid or malicious. Furthermore, using node monitoring strategy a node can periodically check the status (valid or invalid) of surrounding neighboring nodes. Finally we compared the results obtained through simulations to previously used techniques and found out that our proposed model offers better network performance than previously used techniques. Thus our proposed method not only improves network performance but also prevents attackers intelligently.