Publication Date
1-1-2022
Document Type
Conference Proceeding
Publication Title
Communications in Computer and Information Science
Volume
1683 CCIS
DOI
10.1007/978-3-031-24049-2_4
First Page
57
Last Page
73
Abstract
Collaborative intrusion detection approach uses the shared detection signature between the collaborative participants to facilitate coordinated defense. In the context of collaborative intrusion detection system (CIDS), however, there is no research focusing on the efficiency of the shared detection signature. The inefficient detection signature costs not only the IDS resource but also the process of the peer-to-peer (P2P) network. In this paper, we therefore propose a blockchain-based retribution mechanism, which aims to incentivize the participants to contribute to verifying the efficiency of the detection signature in terms of certain distributed consensus. We implement a prototype using Ethereum blockchain, which instantiates a token-based retribution mechanism and a smart contract-enabled voting-based distributed consensus. We conduct a number of experiments built on the prototype, and the experimental results demonstrate the effectiveness of the proposed approach.
Funding Number
RDF-21-02-012
Funding Sponsor
Xi’an Jiaotong-Liverpool University
Keywords
Blockchain, Collaborative intrusion detection, Detection signature, Retribution, Token, Verification
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Department
Computer Engineering
Recommended Citation
Wenjun Fan, Shubham Kumar, Sang Yoon Chang, and Younghee Park. "A Blockchain-Based Retribution Mechanism for Collaborative Intrusion Detection" Communications in Computer and Information Science (2022): 57-73. https://doi.org/10.1007/978-3-031-24049-2_4
