Capacity of EM Side Channel Created by Instruction Executions in a Processor

Yilmaz, Baki Berkay; Prvulovic, Milos; Zajić, Alenka

doi:10.1109/iemcon.2019.8936144

Cited by 2 publications

(5 citation statements)

References 20 publications

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Section: Electromagnetic Spectrum Analysismentioning

confidence: 99%

“…Several studies have shown that fuzzy inference may be used to generate successful decisionmaking models [67]. According to [67], the capabilities of fuzzy-based approaches are highlighted. This work offers a Fuzzy Inference-based Supervisory decision model that aids in localizing the attack and assigning risk levels, with the goal of minimizing plant downtime and, therefore, financial losses.…”

Section: Electromagnetic Spectrum Analysismentioning

confidence: 99%

“…This is due to the fact that fuzzy inference has the ability to make decisions even when there are several variables involved. In [67], authors have provided evidence that demonstrates that fuzzy inference is possible to construct decision-making models that are both accurate and useful. In addition, the authors conducted research to determine the usefulness of fuzzy-based techniques.…”

Section: Fuzzy Inference Enginementioning

confidence: 99%

“…To be more precise, fuzzy inference employs fuzzy rules to comprehend and transform an input vector to an output vector [67]. As a result, defuzzification necessitates the use of sound rules.…”

Section: Mamdani Inference Systemmentioning

confidence: 99%

“…Center of mass: In this defuzzification technique, the output distribution is utilized to calculate the center of mass, resulting in a single crisp score [67]. This defuzzification connection, which is based on the center of mass, may be represented as follows:…”

Section: Defuzzification -Canter Of Massmentioning

confidence: 99%

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Electromagnetic spectral domain technique for failure analysis of control system processors on the internet of things

Vaidyan

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I would like to take this opportunity to express my thanks to those who helped me with vari-ous aspects of conducting research and the writing of this dissertation. I would like to thank my major professor, Prof. Akhilesh Tyagi, for the excellent and stimulating discussions we had during my Ph.D. journey. Over the years, it has been a privilege to work with Professor Tyagi, who has been incredibly supportive and understanding during even my personal difficult times.In addition, I would like to thank my committee members, Professors Diane Rover, Douglas Jacobson, Soma Chaudhuri, and Berk Gulmezoglu, for taking the time to serve on my committee and for their insightful comments and ideas. Last but not least, I would want to thank all of my friends, coworkers, and the faculty and staff of the department for making my stay at Iowa State University a wonderful experience.

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Section: Electromagnetic Spectrum Analysismentioning

confidence: 99%

Section: Electromagnetic Spectrum Analysismentioning

confidence: 99%

Section: Fuzzy Inference Enginementioning

confidence: 99%

Section: Mamdani Inference Systemmentioning

confidence: 99%

Section: Defuzzification -Canter Of Massmentioning

confidence: 99%

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