Identification and modeling of behavioral traits of Advanced Persistent Threats (APTs)

Abstract

This research paper addresses the identification and modeling of behavioral traits in Advanced Persistent Threats (APTs), proposing an integrative approach that systematically links a series of classic criminological theories and the Big Five personality model with the analysis of these groups. It is argued that there is a lack of a formalized method for applying theoretical frameworks of crime and motivation to the reality of cybercrime, particularly regarding APT groups, making it difficult to identify behavioral patterns. This paper proposes a set of analogies derived from criminological theories combined with a practical model based on psychological traits and behavioral patterns to provide predictive insight into the behavior of APT groups, thereby facilitating decision making, implementation of countermeasures, and optimization of incident response strategies. Although limitations such as dependency on additional sources and the rapidly evolving nature of threats are acknowledged, this work aims to offer a valuable perspective for understanding and addressing these sophisticated threats.