Paper 2019/849 Original: eprint.iacr.org/2019/849 ↗
Trust Based Intrusion Detection System to Detect Insider Attacks in IoT Systems
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.
Metadata
- Available format(s)
PDF- Category
- Applications
- Publication info
- Preprint.
- History
- 2019-07-24: last updated
- 2019-07-22: published
- Short URL
- https://ia.cr/2019/849
- License
- https://creativecommons.org/licenses/by/4.0/
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}
}