CTI sharing optimizations and automating threat detection based on actionable intelligence
Βελτιστοποιήσεις κοινής χρήσης νοημοσύνης κυβερνοαπειλής και αυτοματοποίηση ανίχνευσης απειλών βασισμένη σε ενεργή νοημοσύνη
Security for businesses and organizations is essential to protect operational activities, trust relationships with potential clients and financial viability. Increased interest for research concerning cybersecurity issues has been shown recently, while at the same time professionals of this sector are employed to ensure safety. In turn, the efficacy and performance of both the researchers and professionals rely on the information provided by Cyber Threat Intelligence (CTI) infrastructures. Automation of procedures regarding the collection, harmonization and processing of information is of utmost importance for CTI, in order to effectively relay to the community intelligence concerning newly emerged threats. Nevertheless, the process regarding the transfer of knowledge between CTI and cybersecurity specialists is based on frameworks and procedures that are not in line with the needs and standards of modern times, being performed through obsolete methods and manual labor. In this paper, we propose BRIDGE, the first tool that streamlines the flow of intelligence between CTI and cybersecurity professionals, by taking advantage of the STIX standard, utilizing blockchain technology and automatically converting the intelligence needed in the form that researchers and other professionals require. Our experimental results demonstrate the efficiency of BRIDGE in terms of swiftness and performance improvement compared to the mainstream approach.