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
-
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},
url = {https://eprint.iacr.org/2019/849}
}
