Attacker Capability based Dynamic Deception Model for Large-Scale Networks

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 anadvanced level cyber-attack plan. To thwart the reconnaissance mission and counterattack plan, the cyber defender needs tocome up with a state-of-the-art cyber defense strategy. In this paper, we model a dynamic deception system (DDS) whichwill not only thwart reconnaissance mission but also steer the attacker towards fake network to achieve a fake goal state. Inour model, we also capture the attacker’s capability using a belief matrix which is a joint probability distribution over thesecurity states and attacker types. Experiments conducted on the prototype implementation of our DDS confirm that thedefender can make the decision whether to spend more resources or save resources based on attacker types and thwartreconnaissance mission.

Keywords

• cyber deception
• network security
• pomcp
• pomdp
• sdn
• exploit dependency graph