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Ensuring data integrity by anomaly node detection during Data Gathering in WSNs

Mamun, Q., Islam, R. and Kaosar, M. (2013) Ensuring data integrity by anomaly node detection during Data Gathering in WSNs. In: Zia, T., Zomaya, A., Varadharajan, V. and Mao, M., (eds.) Security and Privacy in Communication Networks. Springer, Cham, pp. 367-379.

Link to Published Version: https://doi.org/10.1007/978-3-319-04283-1_23
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Abstract

This paper presents a model for ensuring data integrity using anomalous node identification in non-homogeneous wireless sensor networks (WSNs). We propose the anomaly detection technique while collecting data using mobile data collectors (MDCs), which detect the malicious activities before sending to the base station (BS). Our technique also protects the leader nodes (LNs) from malicious activities to ensure data integrity between the MDC and the LNs. The proposed approach learns the data characteristics from each sensor node and passes it to the MDC, where detection engine identifies the victim node and eventually alarm the LNs in order to keep the normal behaviour in the network. Our empirical evidence shows the effectiveness our approach.

Item Type: Book Chapter
Publisher: Springer, Cham
Copyright: © 2013 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Other Information: Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 127)
URI: http://researchrepository.murdoch.edu.au/id/eprint/62470
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