A Topological Categorization of Agents for the Definition of Attack States in Multi-agent Systems

Abstract

We propose a topological categorization of agents that makes use of the multiple-channel logic (MCL) framework, a recently developed model of reasoning about agents. We firstly introduce a complete formalization of prejudices on agents' attitudes and propose an extension of the rules of the MCL framework. We then use RCC-5 (the Region Connection Calculus) to categorize different agents in Multi-Agent Systems (MAS) based on the collaboration, competence, and honesty of agents. We discuss the possibility of using RCC-3 and RCC-8 and generalize our results to define an upper bound in the number of different types of agents in MAS. Finally, we apply our topological categorization to a specific MAS that describes a Cyber-Physical System, for which we define, categorize and discuss the resulting attack states.

CNA Tactics and Techniques: A Structure Proposal

“…Applying a valid up-to-date taxonomy may guarantee a significant advantage in terms of appropriateness and fitness for attack prevention; in [82], the authors present a taxonomy that is tested against the behavior of sensors modeled as agents. Other relevant attack taxonomies are those presented in [83,84], but none of them is based on TTP for those attacks.…”

Modeling of Advanced Threat Actors: Characterization, Categorization and Detection

“…Applying a valid up-to-date taxonomy may guarantee a significant advantage in terms of appropriateness and fitness for attack prevention; in [545], the authors present a taxonomy that is tested against the behavior of sensors modeled as agents. Other relevant attack taxonomies are those presented in [268,278], but none of them is based on TTP for those attacks.…”