A Review of the Intersection Techniques on Humint and Osint

Abstract

The traditional and doctrinal concepts of cybersecurity involve the concepts of physical, logical and social perspectives, prevailing the consensus that the system will be secure if these three perspectives have appropriate levels of compliance. However, the difficulties in conceptualizing “security” for human and social interfaces have compelled industry and academic research to treat cybersecurity with a focus on the physical and logical perspectives. Within the scope of the social perspective, the threats are shaped in the interactions between information and technology what shifts the central point of the discussions to the informational society with the interdependencies of human relations based on the use of social networks that result in the growing volume of information supply. This research aims to broaden the underlying debate about malicious user behaviour by proposing a framework that allows classifying this type of user according to predefined profiles. The objective of this research is to develop a framework based on OSINT (Open Source Intelligence) and HUMINT (Human Intelligence) concepts that can help cybersecurity professionals to select potential collaborators with objective criteria that make it possible to measure the reliability of the information obtained. Besides, the research aims to evaluate how the approach based on HUMINT (Human Intelligence) techniques and applied in a virtual environment can enhance cybersecurity.