Blockchain-based Secure CIDS Operation

Imran Makhdoom, Kadhim Hayawi, Mohammed Kaosar, Sujith Samuel Mathew, Mohammad Mehedy Masud

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

For large, intricate, and multi-layered networks like that of Industrial IoT, an individual instance of intrusion detection system cannot efficiently work against advanced attack strategies. The reason is that it would not be aware of the overall context, environment, and relevant incidents in other networks. This necessitates a collaborative intrusion detection system that allows multiple intrusion detection systems to communicate with each other and share information on emerging cyber-attack incidents. Thus, immunizing themselves and preventing the attack from escalating. However, the main challenge here is to manage the trust among the peers, where an insider attacker may input false attack signatures to the network, thus degrading the performance. Hence, we propose a blockchain-based trustfree collaborative intrusion detection system, in which threat alert messages will only be propagated in the network after network consensus.

Original languageEnglish
Title of host publication2021 5th Cyber Security in Networking Conference, CSNet 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages103-106
Number of pages4
ISBN (Electronic)9781665407229
DOIs
Publication statusPublished - 2021
Event5th Cyber Security in Networking Conference, CSNet 2021 - Abu Dhabi, United Arab Emirates
Duration: Oct 12 2021Oct 14 2021

Publication series

Name2021 5th Cyber Security in Networking Conference, CSNet 2021

Conference

Conference5th Cyber Security in Networking Conference, CSNet 2021
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period10/12/2110/14/21

Keywords

  • Blockchain
  • distributed consensus
  • insider attacks
  • intrusion detection system
  • trustfree operation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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