Distributed Clone Detection in Mobile Sensor Networks

Abu Sayed Chowdhury, Akshaye Dhawan

2017

Abstract

In this paper, we present a clone detection technique for mobile wireless sensor networks. Since sensor nodes can be compromised and cloned by an adversary, it is desirable to have a distributed clone detection algorithm wherein the nodes in the network themselves identify cloned nodes. Most approaches in the literature have a deterministic set of witness nodes that check for the presence of cloned nodes for a given ID based by receiving claim messages that show two or more nodes with the same ID in different locations. We present a new approach to distributed clone detection called Distributed Detection using Prefix Matching (DDPM). Our approach is designed to work in a mobile sensor network and is based on using a random number and a hash function of the claiming nodes ID to generate a key. We then match the prefix of this key to sensor node IDs in the network to determine a set of inspector nodes that will detect clones for a given round. We demonstrate a 7-10% improvement in the number of witness nodes as a measure of security while also reducing the communication overhead.

Paper Citation

in Harvard Style

Sayed Chowdhury A. and Dhawan A. (2017). Distributed Clone Detection in Mobile Sensor Networks . In Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-211-0, pages 135-141. DOI: 10.5220/0006130701350141

in Bibtex Style

@conference{sensornets17,
author={Abu Sayed Chowdhury and Akshaye Dhawan},
title={Distributed Clone Detection in Mobile Sensor Networks},
booktitle={Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2017},
pages={135-141},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006130701350141},
isbn={978-989-758-211-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Distributed Clone Detection in Mobile Sensor Networks
SN - 978-989-758-211-0
AU - Sayed Chowdhury A.
AU - Dhawan A.
PY - 2017
SP - 135
EP - 141
DO - 10.5220/0006130701350141