@inproceedings{70d010df34604a66a8ce9cb2c5b01889,
title = "In-band wormhole detection in wireless ad hoc networks using change point detection method",
abstract = "This paper addresses detecting in-band wormholes in wireless ad hoc networks. The detection scheme requires collecting the end-to-end delay of packets at the receiver and then applying a sequential change point detection algorithm to detect abrupt changes in the delay time series. A new change point detection algorithm, named SW-CLT, is proposed. The algorithm is based on the Central Limit Theorem (CLT) and does not involve using a preset detecting threshold. The algorithm is compared with the non-parametric cumulative sum (NP-CUSUM) because the non-parametric version is believed to be more robust to highly dynamic data than the parametric version. SW-CLT has the ability to adjust its detection threshold with the variance of the data, and therefore is more robust than NP-CUSUM, which uses a preset threshold. Simulation results from ns3 verified the advantage of SW-CLT over NP-CUSUM in all simulated scenarios.",
author = "Cheng, {Maggie X.} and Yi Ling and Wu, {Wei Biao}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Communications, ICC 2016 ; Conference date: 22-05-2016 Through 27-05-2016",
year = "2016",
month = jul,
day = "12",
doi = "10.1109/ICC.2016.7510989",
language = "English (US)",
series = "2016 IEEE International Conference on Communications, ICC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE International Conference on Communications, ICC 2016",
address = "United States",
}