Responsible AI Incorporation in Advanced Persistent Threat Landscape
摘要
The multifaceted nature and the quantity of digital assaults has been expanding constantly which induces that the security frameworks that are being used today have restricted accomplishment in keeping these advanced assaults. By incorporating Responsible AI, we can predict the possible threat patterns to get guardrails applied. Advanced Persistent Threats like Stuxnet, hacking group RCS, Red October, Wild Neutron and all the more as of late Carbanak have further lessened the trust in present security frameworks. In this paper, we have performed the specialized investigation of these Advanced Persistent Threats which highlights their individual salient features and identify common patterns among them. This analysis will assist us to think of a skeletal structure for all the APT’s which in turn assists in concocting a cautious defensive mechanism to identify similar threats in future. This paper sheds light on methodologies as well as research covered on the mentioned in depth.