Describing Advanced Persistent Threats Using a Multi-Agent System Approach

Submitted by grigby1 on Mon, 03/19/2018 - 1:54pm

Title	Describing Advanced Persistent Threats Using a Multi-Agent System Approach
Publication Type	Conference Paper
Year of Publication	2017
Authors	Bulusu, S. T., Laborde, R., Wazan, A. S., Barrere, F., Benzekri, A.
Conference Name	2017 1st Cyber Security in Networking Conference (CSNet)
Keywords	advanced 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
Abstract	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.
URL	http://ieeexplore.ieee.org/document/8241997/
DOI	10.1109/CSNET.2017.8241997
Citation Key	bulusu_describing_2017

Groups:

Science of Security VO