Multidisciplinary Intel Fusion Technique for Proactive Cyber-Intelligence Model for the IoT

Abstract

Cyber-Threat Intelligence (CTI) is an acknowledged concept both by professionals and academia. This well-known notion was synthesized through interdisciplinary and multidisciplinary subspecialties of Cyber-Intelligence (CI). The CI concept focuses on extracting pure intelligence reports and cyber-perspectives through available information sources, including the deep/dark web. It also discloses possible threats, risks, attack campaigns, espionage, and exposure operations. Focusing on the clear and dark side of the Internet is not enough to feed CI; for an accurate and richer stream of information, the Internet of Things (IoT) concept needs to be clarified and integrated into the entire CI lifecycle. The process includes extracting information through various sources using different methodologies and techniques and by applying the proposed aggregation function/methodology models for continuous development of the CI lifecycle. This chapter focuses on the fundamentals of the CI concentrations such as Open-Source Intelligence (OSINT ), Human Intelligence (HUMINT ), Technical Intelligence (TECHINT ), and the IoT vision in order to propose a proactive CYBer-INTelligence (CYBINT) aggregation approach model. The proposed model depends on practical tools and approaches that are part of the proactive defenses and analyzing strategies.