Cryptology ePrint Archive: Report 2019/849

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

Ambili K N and Jimmy Jose

Abstract: IoT systems are vulnerable to various cyber attacks as they form a subset of the In- ternet. Insider attacks find more significance since many devices are configured to access the Internet without intrusion detection systems or firewalls in place. The current work focuses on three insider attacks, namely, blackhole attack, sinkhole attack and wormhole attack. A distrib - uted 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 deci- sion to include or exclude a node.

Category / Keywords: applications / IoT, blackhole, sinkhole, wormhole, IDS,DDoS

Date: received 21 Jul 2019, last revised 24 Jul 2019

Contact author: ambili_p180002cs at nitc ac in

Available format(s): PDF | BibTeX Citation

Note: Changed file name to be in sync with title given in paper. Earlier a short form IDS was used instead of intrusion detection system in title field here. Updated figure.

Version: 20190724:101348 (All versions of this report)

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