About
Su is a cybersecurity leader driving the future of autonomous vehicle security.
As…
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15K followers
Experience
Education
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Kansas State University
3.9/4.0
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Ph.D Dissertation: Quantitative Risk Assessment under Multi-Context Environment
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Publications
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After we knew it: empirical study and modeling of cost-effectiveness of exploiting prevalent known vulnerabilities across IaaS cloud
in Proceedings of the 9th ACM symposium on Information, computer and communications security (ASIACCS 14)
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Investigating the application of moving target defenses to network security
In 6th International Symposium on Resilient Control Systems (ISRCS)
This paper presents a preliminary design for a moving-target defense (MTD) for computer networks to combat an attacker’s asymmetric advantage. The MTD system reasons over a set of abstract models that capture the network’s configuration and its operational and security goals to select adaptations that maintain the operational integrity of the network. The paper examines both a simple (purely random) MTD system as well as an intelligent MTD…
This paper presents a preliminary design for a moving-target defense (MTD) for computer networks to combat an attacker’s asymmetric advantage. The MTD system reasons over a set of abstract models that capture the network’s configuration and its operational and security goals to select adaptations that maintain the operational integrity of the network. The paper examines both a simple (purely random) MTD system as well as an intelligent MTD system that uses attack indicators to augment adaptation selection. A set of simulation-based experiments show that such an MTD system may in fact be able to reduce an attacker’s success likelihood. These results are a preliminary step towards understanding and quantifying the impact of MTDs on computer networks.
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