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Kennesaw State University

An Architecture for Blockchain-based Collaborative Signature-based Intrusion Detection System

Abstract

dc:description.abstract

<p>Collaborative intrusion detection system (CIDS), where IDS hosts work with each other and share resources, have been proposed to cope with the increasingly sophisticated cyberattacks. Despite the promising benefits such as expanded signature databases and alert data from multiple sites, trust management and consensus building remain as challenges for a CIDS to work effectively. The blockchain technology with built-in immutability and consensus building capability provides a viable solution to the issues of CIDS. In this paper, we introduce an architecture for a blockchain-enabled signature-based collaborative IDS, discuss the implementation strategy of the proposed architecture and developed a prototype using Hyperledger and Snort. Our preliminary evaluation on a bench mark showed the proposed architecture offers a solution by addressing the issues of trust, data sharing and insider attacks in the network environment of CIDSs. The implications and limitations of this study are also discussed.</p>

Degree

thesis:*
Name thesis:degree_name
Master of Science in Information Technology (MSIT)
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Information Technology
Year dc:date.available
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Laufenberg, Daniel
Contributors dc:contributor
  • Dr. Lei Li
  • Dr. Hossain Shahriar
  • Dr. Meng Han

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
Repository record dc:identifier
https://digitalcommons.kennesaw.edu/msit_etd/5
OAI identifier oai:identifier
oai:digitalcommons.kennesaw.edu:msit_etd-1006

Chain of custody

source
Harvested from
Kennesaw State University
Base URL
digitalcommons.kennesaw.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Laufenberg, Daniel. An Architecture for Blockchain-based Collaborative Signature-based Intrusion Detection System. Thesis thesis, 2019. https://digitalcommons.kennesaw.edu/msit_etd/5