Attacker Capability based Dynamic Deception Model for Large-Scale Networks

Al Amin, Md and Shetty, Sachin and Njilla, Laurent and Tosh, Deepak and Kamouha, Charles (2019) Attacker Capability based Dynamic Deception Model for Large-Scale Networks. EAI Endorsed Transactions on Security and Safety, 6 (21). e2. ISSN 2032-9393

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Abstract

In modern days, cyber networks need continuous monitoring to keep the network secure and available to legitimate users. Cyber attackers use reconnaissance mission to collect critical network information and using that information, they make an advanced level cyber-attack plan. To thwart the reconnaissance mission and counterattack plan, the cyber defender needs to come up with a state-of-the-art cyber defense strategy. In this paper, we model a dynamic deception system (DDS) which will not only thwart reconnaissance mission but also steer the attacker towards fake network to achieve a fake goal state. In our model, we also capture the attacker’s capability using a belief matrix which is a joint probability distribution over the security states and attacker types. Experiments conducted on the prototype implementation of our DDS confirm that the defender can make the decision whether to spend more resources or save resources based on attacker types and thwart reconnaissance mission.

Item Type: Article
Uncontrolled Keywords: cyber deception, network security, POMCP, POMDP, SDN, exploit dependency graph
Subjects: H Social Sciences > H Social Sciences (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor IV
Date Deposited: 26 Mar 2021 14:01
Last Modified: 26 Mar 2021 14:01
URI: https://eprints.eudl.eu/id/eprint/2124

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