2022
DOI: 10.32604/cmc.2022.020826
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Efficient Autonomous Defense System Using Machine Learning on Edge Device

Abstract: As a large amount of data needs to be processed and speed needs to be improved, edge computing with ultra-low latency and ultra-connectivity is emerging as a new paradigm. These changes can lead to new cyber risks, and should therefore be considered for a security threat model. To this end, we constructed an edge system to study security in two directions, hardware and software. First, on the hardware side, we want to autonomically defend against hardware attacks such as side channel attacks by configuring fie… Show more

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Cited by 4 publications
(1 citation statement)
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“…The method of imputation was divided into univariate imputation using time dependence, and multivariate imputation using the correlation between variables. In addition, the methods that were mainly used in each method are the traditional methods, because the existing models are reliable, fast, and uncomplicated [37].…”
Section: Missing Value Imputation By Single Modelmentioning
confidence: 99%
“…The method of imputation was divided into univariate imputation using time dependence, and multivariate imputation using the correlation between variables. In addition, the methods that were mainly used in each method are the traditional methods, because the existing models are reliable, fast, and uncomplicated [37].…”
Section: Missing Value Imputation By Single Modelmentioning
confidence: 99%