Paper 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.

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.

Metadata
Available format(s)
PDF
Category
Applications
Publication info
Preprint. Minor revision.
Keywords
IoTblackholesinkholewormholeIDSDDoS
Contact author(s)
ambili_p180002cs @ nitc ac in
History
2019-07-24: last of 2 revisions
2019-07-22: received
See all versions
Short URL
https://ia.cr/2019/849
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2019/849,
      author = {Ambili K N and Jimmy Jose},
      title = {Trust Based Intrusion Detection System to Detect Insider Attacks in IoT Systems},
      howpublished = {Cryptology ePrint Archive, Paper 2019/849},
      year = {2019},
      note = {\url{https://eprint.iacr.org/2019/849}},
      url = {https://eprint.iacr.org/2019/849}
}
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