New communication networks are composed of multiple heterogeneous types of networks including Internet,\nmobile networks, and sensor networks. Wireless sensor networks have been applied to various businesses and\nindustries since the last decade. Most sensors have the ability of communication and the requirement of low\npower consumption. 6LoWPAN (IPv6 over Low Power Wireless Personal Area Networks) plays an important role\nin this convergence of heterogeneous technologies, which allows sensors to transmit information using IPv6\nstack. Sensors perform critical tasks and become targets of attacks.\nWormhole attack is one of the most common attacks to sensor networks, threatening the network availability by\ndropping data or disturbing routing paths. RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) is a\nstandard routing protocol commonly used in sensor networks. This study proposes a RPL-based wormhole detection\nmechanism. The rank of a node-defined RPL is adopted to measure the distance. The proposed detection method\ndiscovers malicious wormhole nodes if unreasonable rank values are identified. The experimental results show that the\nproposed detection method can identify wormholes effectively under various wireless sensor networks.
Loading....