Cyber Attack Detection from Adversary Simulation Tools

Overview

This post refers to the academic work “Cyber Attack Detection from Adversary Simulation Tools”, developed by Michele Nuzzo within the research and teaching activities related to cybersecurity and threat detection at the University of Sannio.

The work examines how adversary simulation tools can be used to reproduce realistic attack behaviors and support the development of more effective detection logic. The objective is to bridge offensive simulation and defensive monitoring, helping analysts understand how attack patterns can be translated into actionable security detections.