Abstract | ||
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Cyber reconnaissance is the process of gathering information about a target network for the purpose of compromising systems within that network. Network-based deception has emerged as a promising approach to disrupt attackers' reconnaissance efforts. However, limited work has been done so far on measuring the effectiveness of network-based deception. Furthermore, given that Software-Defined Networking (SDN) facilitates cyber deception by allowing network traffic to be modified and injected on-the-fly, understanding the effectiveness of employing different cyber deception strategies is critical. In this paper, we present a model to study the reconnaissance surface of a network and model the process of gathering information by attackers as interactions with a cyber defensive system that may use deception. To capture the evolution of the attackers' knowledge during reconnaissance, we design a belief system that is updated by using a Bayesian inference method. For the proposed model, we present two metrics based on KL-divergence to quantify the effectiveness of network deception. We tested the model and the two metrics by conducting experiments with a simulated attacker in an SDN-based deception system. The results of the experiments match our expectations, providing support for the model and proposed metrics. |
Year | DOI | Venue |
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2018 | 10.1109/ISI.2018.8587326 | 2018 IEEE International Conference on Intelligence and Security Informatics (ISI) |
Keywords | Field | DocType |
network deception,cyber reconnaissance,target network,network-based deception,network traffic,reconnaissance surface,cyber defensive system,SDN-based deception system,software-defined networking,cyber deception strategies,belief system,Bayesian inference method,KL-divergence | Bayesian inference,Computer science,Computer security,Deception,Measurement uncertainty | Conference |
ISBN | Citations | PageRank |
978-1-5386-7849-7 | 1 | 0.39 |
References | Authors | |
2 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shridatt Sugrim | 1 | 62 | 7.58 |
Sridhar Venkatesan | 2 | 18 | 5.86 |
Jason A. Youzwak | 3 | 1 | 0.39 |
Cho-Yu Jason Chiang | 4 | 27 | 7.41 |
Ritu Chadha | 5 | 137 | 26.01 |
Massimiliano Albanese | 6 | 387 | 34.58 |
Hasan Cam | 7 | 143 | 22.81 |