Enhanced Resource Allocation Strategy using Cox Regression for Wormhole Attack Mitigation in Routing Protocols

MANETs, as self-configuring networks lacking a fixed infrastructure, are exceptionally vulnerable to a multitude of security threats. One such severe threat is the Wormhole Attack, where malicious nodes create a virtual link between two distant points in the network, creating a shortcut for communication. This deceptive behavior disrupts the routing protocols and leads to severe consequences, including data manipulation and network partitioning. The Wormhole Attack has had a significant impact on MANETs. This study stimulates COX Regression techniques that are used to calculate the regression coefficient for the association between mobile nodes to perform routing in the MANETs. Based on the calculation of residual energy, the delay and bandwidth are identified as optimal. Additionally, various mitigation techniques are proposed and evaluated to improve the network’s security in the face of this sophisticated attack. According to the computation of residual energy, delay and bandwidth is detected as optimal one. Additionally, this study proposes and evaluates different mitigation techniques to enhance the network’s security against this sophisticated attack. The proposed methods findings highlight the importance of proactive measures and vigilance in safeguarding MANETs from Wormhole Attacks. This helps to improve the rate of packet delivery with reduced latency and the lifetime of data transmission within the network.