The use of semantic analysis in the identification of attacks based on social engineering techniques

Abstract

The need to detect attacks based on social engineering techniques has put researchers in the position of building different tools, observation grids or even theories able to capture different behaviors specific to simulated behavior. Although phishing is the main attack vector used in most cybersecurity offensive playbooks, the most effective attacks involve dialogue between the attacker and the target. This paper explores threat detection using semantic analysis performed with "Tropes" software.