How to Own the Internet in Your Spare Time
Proceedings of the 11th USENIX Security Symposium
Journal of Computer Security - IFIP 2000
The monitoring and early detection of internet worms
IEEE/ACM Transactions on Networking (TON)
On the performance of internet worm scanning strategies
Performance Evaluation
Modeling and Automated Containment of Worms
IEEE Transactions on Dependable and Secure Computing
Multi-agent Model Analysis of the Containment Strategy for Avian Influenza (AI) in South Korea
BIBM '08 Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine
A testbed for power system security evaluation
International Journal of Information and Computer Security
Modeling Modern Network Attacks and Countermeasures Using Attack Graphs
ACSAC '09 Proceedings of the 2009 Annual Computer Security Applications Conference
Agent-based modeling and simulation
Winter Simulation Conference
NGCE – network graphs for computer epidemiologists
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
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Malware is a major threat to organisations. It affects business continuity and induces risks to organisations. Current anti-malware solutions are challenged to keep the risks at bay. When a malware manages to penetrate an organisation's defences, there is a need to quickly contain the malware and to keep control over the organisation's IT assets before the risk escalates. In such incident, incident responders need to effectively carry out their containment plan. An ineffective containment plan will induce greater risks. Such infiltration can spread like a biological epidemic outbreak. These epidemic-like outbreaks can be modelled using mathematical models. However there are no models to assess the effectiveness of incident response plan. Additionally, there are many variable considerations that the incident response plan would need to factor in. This research paper proposes the use of an agent-based model to model containment response plan to minimise the impact of a malware outbreak.