@article{1257,
  author = {Xiaoyuan Zhou, Lijun Chen},
  title = {Link-Based Wormhole Detection in Wireless Sensor Networks},
  journal = {Journal of Networking Technology},
  year = {2013},
  volume = {4},
  number = {3},
  doi = {},
  url = {http://www.dline.info/jnt/fulltext/v4n3/3.pdf},
  abstract = {Wormhole attack is one of the most severe threats against multi-hop wireless sensor networks. An attacker can easily prevent a normal network from collecting information. Most existing methods have difficulty in finding out the wormhole accomplice nodes or obtain a high detection success rate. In this work, we propose a novel detection mechanism. Our method requires only a small number of anchor nodes. Using these anchor nodes disposed in a network, we can get many links among nodes for detecting the existence of a wormhole channel quickly. A node matching algorithm based on the links is proposed to find out the wormhole nodes. For a hidden wormhole attack, a traffic analysis algorithm based on the links is proposed to distinguish the infected area nodes which locate around wormhole nodes. Finally, our wormhole detection method is evaluated to be efficient by experiments.},
}