Interactive Wormhole Detection in Large Scale Wireless Networks

Overview

Wormhole attacks in wireless networks can severely deteriorate the network performance and compromise the security through spoiling the routing protocols and weakening the security enhancements. This paper develops an approach, Interactive Visualization of Wormholes (IVoW), to monitor and detect such attacks in large scale wireless networks in real time. The paper characterizes the topology features of a network under wormhole attacks through the node position changes and visualizes the information at dynamically adjusted scales. It integrates an automatic detection algorithm with appropriate user interactions to handle complicated scenarios that include a large number of moving nodes and multiple wormhole attackers.