System for Malicious Node Detection in IPv6-Based Wireless Sensor Networks
Joint Authors
Grgic, Kresimir
Zagar, Drago
Krizanovic Cik, Visnja
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-18
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
The trend of implementing the IPv6 into wireless sensor networks (WSNs) has recently occurred as a consequence of a tendency of their integration with other types of IP-based networks.
The paper deals with the security aspects of these IPv6-based WSNs.
A brief analysis of security threats and attacks which are present in the IPv6-based WSN is given.
The solution to an adaptive distributed system for malicious node detection in the IPv6-based WSN is proposed.
The proposed intrusion detection system is based on distributed algorithms and a collective decision-making process.
It introduces an innovative concept of probability estimation for malicious behaviour of sensor nodes.
The proposed system is implemented and tested through several different scenarios in three different network topologies.
Finally, the performed analysis showed that the proposed system is energy efficient and has a good capability to detect malicious nodes.
American Psychological Association (APA)
Grgic, Kresimir& Zagar, Drago& Krizanovic Cik, Visnja. 2016. System for Malicious Node Detection in IPv6-Based Wireless Sensor Networks. Journal of Sensors،Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1110544
Modern Language Association (MLA)
Grgic, Kresimir…[et al.]. System for Malicious Node Detection in IPv6-Based Wireless Sensor Networks. Journal of Sensors No. 2016 (2016), pp.1-20.
https://search.emarefa.net/detail/BIM-1110544
American Medical Association (AMA)
Grgic, Kresimir& Zagar, Drago& Krizanovic Cik, Visnja. System for Malicious Node Detection in IPv6-Based Wireless Sensor Networks. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-20.
https://search.emarefa.net/detail/BIM-1110544
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110544