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Trust Based Intrusion Detection System to Detect Insider Attacks in IoT Systems

Publication Type : Conference Paper

Publisher : Book Information Science and Applications

Source : Book Information Science and Applications, Pages 631-638, Publisher Springer, Singapore

Keywords : IoT ,Blackhole ,Sinkhole, Wormhol,e IDS ,DDoS

Campus : Coimbatore

Center : TIFAC CORE in Cyber Security

Year : 2019

Abstract : IoT systems are vulnerable to various cyber attacks as they form a subset of the Internet. Insider attacks find more significance since many devices are configured to access the Internet without intrusion detection systems or firewalls in place. Current work focuses on three insider attacks, namely, blackhole attack, sinkhole attack and wormhole attack. A distributed trust based intrusion detection system is proposed to detect these attacks. The trust scores are compared with those existing in immutable distributed ledger and used to arrive at a decision to include or exclude a node.

Cite this Research Publication : Trust based intrusion detection system to detect insider attacks in IoT systems KN Ambili, Jimmy Jose, Publication date 2020, Book Information Science and Applications, Pages 631-638, Publisher Springer, Singapore

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