Visible to the public Describing Advanced Persistent Threats Using a Multi-Agent System Approach

TitleDescribing Advanced Persistent Threats Using a Multi-Agent System Approach
Publication TypeConference Paper
Year of Publication2017
AuthorsBulusu, S. T., Laborde, R., Wazan, A. S., Barrere, F., Benzekri, A.
Conference Name2017 1st Cyber Security in Networking Conference (CSNet)
Keywordsadvanced persistent threat attacks, advanced persistent threats, agent-oriented social modelling approaches, Analytical models, attack trees, Human Behavior, Lead, Malware, Metrics, multi-agent systems, multiagent system approach, natural language, Organizations, pubcrawl, resilience, Resiliency, Scalability, security, security of data, Servers, software security requirement analysis, threat intelligence information

Advanced Persistent Threats are increasingly becoming one of the major concerns to many industries and organizations. Currently, there exists numerous articles and industrial reports describing various case studies of recent notable Advanced Persistent Threat attacks. However, these documents are expressed in natural language. This limits the efficient reusability of the threat intelligence information due to ambiguous nature of the natural language. In this article, we propose a model to formally represent Advanced Persistent Threats as multi-agent systems. Our model is inspired by the concepts of agent-oriented social modelling approaches, generally used for software security requirement analysis.

Citation Keybulusu_describing_2017