Leveraging Propagation Delay for Wormhole Detection in Wireless Networks

Detecting and mitigating wormhole attacks in wireless networks remains a critical challenge due to their deceptive nature and potential to compromise network integrity. This paper proposes a novel approach to wormhole detection by leveraging propagation delay analysis between network nodes. Unlike traditional methods that rely on signature-based detection or specialized hardware, our method focuses on analyzing propagation delay timings to identify anomalous behavior indicative of wormhole attacks. The proposed methodology involves collecting propagation delay data in both normal network scenarios and scenarios with inserted malicious wormhole nodes. By comparing these delay timings, our approach aims to differentiate between legitimate network paths and potential wormhole shortcuts. Utilizing the NS-3 network simulator, we validate the effectiveness of our method in accurately detecting and mitigating wormhole attacks. The key advantage of our approach lies in its proactive nature and ability to detect wormholes without relying on specific attack signatures or additional hardware. Using the consistency of propagation delay data, our method offers a promising avenue for early detection and prevention of wormhole attacks, thereby enhancing network security and reliability. The results and insights presented in this paper contribute to the ongoing efforts in developing defense mechanisms against sophisticated network attacks, emphasizing the potential of propagation delay analysis in addressing the challenges posed by wormhole threats in wireless networks.