| Title | Suitability of Blockchain for Collaborative Intrusion Detection Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Dawit, Nahom Aron, Mathew, Sujith Samuel, Hayawi, Kadhim |
| Conference Name | 2020 12th Annual Undergraduate Research Conference on Applied Computing (URC) |
| Keywords | and Anomaly-based IDS, blockchain, Collaboration, collaborative intrusion detection, composability, Human Behavior, Intrusion detection, Metrics, Peer-to-peer computing, Provenance, pubcrawl, Resiliency, Signature-based IDS, Technological innovation |
| Abstract | Cyber-security is indispensable as malicious incidents are ubiquitous on the Internet. Intrusion Detection Systems have an important role in detecting and thwarting cyber-attacks. However, it is more effective in a centralized system but not in peer-to-peer networks which makes it subject to central point failure, especially in collaborated intrusion detection systems. The novel blockchain technology assures a fully distributed security system through its powerful features of transparency, immutability, decentralization, and provenance. Therefore, in this paper, we investigate and demonstrate several methods of collaborative intrusion detection with blockchain to analyze the suitability and security of blockchain for collaborative intrusion detection systems. We also studied the difference between the existing means of the integration of intrusion detection systems with blockchain and categorized the major vulnerabilities of blockchain with their potential losses and current enhancements for mitigation. |
| DOI | 10.1109/URC49805.2020.9099189 |
| Citation Key | dawit_suitability_2020 |
Suitability of Blockchain for Collaborative Intrusion Detection Systems