RTB-RM: A Blockchainenabled System for Reliable and Transparent CTI Sharing with Multidimensional Reputation Model
Bin Wen, Xiaofei Xing, Guojun Wang · 2024
The continuous evolution of network threats has made Cyber Threat Intelligence (CTI) sharing an essential strategy to counter these challenges. However, existing CTI data-sharing models face challenges such as establishing and maintaining trust, lacking flexible sharing strategies, and lacking mechanisms for dispute resolution. To address these issues, this paper proposes a reliable and transparent CTI data-sharing framework based on blockchain (RTB-RM). RTB-RM utilizes a Multidimensional Reputation Model (MRM) to assess user trustworthiness, thus enhancing the credibility of CTI data. It adopts a selective data-sharing approach based on trust levels and sensitivity, balancing the demands of data-sharing and security considerations. Additionally, RTB-RM employs real-time arbitration for dispute resolution. Our experiments validate the cost-effectiveness of RTB-RM and the effectiveness and rationality of MRM in evaluating user reputations and parameter configurations. RTB-RM demonstrates the immense potential and advantages of blockchain technology and multidimensional reputation models in enhancing the reliability and transparency of CTI data sharing.