AI4COLLAB: An AI-based Threat Information Sharing Platform
Christos Dalamagkas, Dimitrios Christos Asimopoulos, Panagiotis I. Radoglou Grammatikis, Nikolaos Maropoulos, Θωμάς Λάγκας, Vasileios Argyriou, Gohar Sargsyan, Panagiotis G. Sarigiannidis · 2024
In the rapidly evolving field of cybersecurity, Cyber Threat Intelligence (CTI) sharing has become an essential practice to enhance awareness of emerging threats and enable infrastructure owners to defend against cyber incidents more efficiently. AI4COLLAB introduces a comprehensive CTI sharing platform designed to address the various challenges associated with CTI sharing, including data privacy, interoperability, and the speed of information dissemination. AI4COLLAB integrates two major CTI sharing platforms, MISP and OpenCTI, to broaden CTI coverage and leverages advanced AI techniques to automate the detection and anonymization of sensitive information. This ensures compliance with privacy regulations such as the General Data Protection Regulation while maintaining the utility of the shared data. By providing an in-depth analysis of existing CTI sharing solutions and presenting the innovative features of AI4COLLAB, this paper highlights the platform's potential to significantly improve the efficiency, security, and effectiveness of CTI sharing in the cybersecurity community.