AI4COLLAB: An AI-based Threat Information Sharing Platform

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.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/csr61664.2024.10679429
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35

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AI4COLLAB: An AI-based Threat Information Sharing Platform

Vasileios Argyriou, Gohar Sargsyan, Panagiotis Radoglou‐Grammatikis, Christos Dalamagkas et al.
1 citations
Network Security and Intrusion Detection
0.35
article

AI4COLLAB: An AI-based Threat Information Sharing Platform

Vasileios Argyriou, Gohar Sargsyan, Panagiotis Radoglou‐Grammatikis, Christos Dalamagkas, Panagiotis Sarigiannidis, Θωμάς Λάγκας, Nikolaos Maropoulos, Dimitrios Christos Asimopoulos
article en
1 citations

Abstract

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.

Democritus University of Thrace (GR), International Hellenic University (GR), Kingston University London (GB), University of Western Macedonia (GR)
European Commission
Openalex Percentile: Top 39%
Network Security and Intrusion Detection
0.35
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AI4COLLAB: An AI-based Threat Information Sharing Platform — Vasileios Argyriou, Gohar Sargsyan, et al. · (2024) | TGRS Research Map | TGRS