Book chapter
Ensuring data integrity by anomaly node detection during Data Gathering in WSNs
Security and Privacy in Communication Networks, Vol.127, pp.367-379
Springer, Cham
2013
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.
Details
- Title
- Ensuring data integrity by anomaly node detection during Data Gathering in WSNs
- Authors/Creators
- Q. Mamun (Author/Creator) - Charles Sturt UniversityR. Islam (Author/Creator) - Charles Sturt UniversityM. Kaosar (Author/Creator) - Charles Sturt University
- Contributors
- T. Zia (Editor)A. Zomaya (Editor)V. Varadharajan (Editor)M. Mao (Editor)
- Publication Details
- Security and Privacy in Communication Networks, Vol.127, pp.367-379
- Publisher
- Springer, Cham
- Identifiers
- 991005541912707891
- Copyright
- © 2013 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Book chapter
- Additional Information
- Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 127)
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