North Carolina State University
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Christopher Theisen is a graduate student at North Carolina State University in Raleigh, North Carolina, advised by Laurie Williams. Prior to his PhD studies, he was a security engineer at Northrop Grumman in Cincinnati, Ohio. His research interests include developing metrics for measurable security, finding more effective techniques for distributing security knowledge, and developing security norms to describe user behavior.
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Submitted by Jonathan Kimball on Tue, 01/09/2018 - 2:32pm
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The objective of this project is to formulate and validate a methodology for creating secure algorithms in cyber-physical systems.
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The recent increase in the variety and usage of wearable sensing systems allows for the continuous monitoring of health and wellness of users. The output of these systems enable individuals to make changes to their personal routines in order to minimize exposures to pollutants and maintain healthy levels of exercise. Furthermore, medical practitioners are using these systems to monitor proper activity levels for rehabilitation purposes and to monitor threatening conditions such as heart arrhythmias.
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ABSTRACT: Intrusion Detection Systems (IDSs) are crucial security mechanisms widely deployed for critical network protection. However, conventional IDSs become incompetent due to the rapid growth in network size and the sophistication of large scale attacks.
