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An information security analysis method of Internet of things based on balanced double SVM
Copyright policy )An information security analysis method of Internet of things based on balanced double SVM
With the continuous progress of social science and technology, the development of the Internet of things is growing With the development of Internet of things, security problems emerge in endlessly During the period of COVID-19, the Internet of Things have been widely used to fight virus outbreak However, the most serious security problem of the Internet of things is network intrusion This paper proposes a balanced quadratic support vector machine information security analysis method for Internet of things Compared with the traditional support vector machine Internet of things security analysis method, this method has a higher accuracy, and can shorten the detection time, with efficient and powerful characteristics The method proposed in this paper has certain reference value to the Internet of things network intrusion problem It provides better security for the Internet of things during the protection period of covid-19 © 2020 - IOS Press and the authors All rights reserved
- China University of Mining and Technology China (People's Republic of)
Microsoft Academic Graph classification: Value (ethics) Security analysis Coronavirus disease 2019 (COVID-19) business.industry Computer science Information security Computer security computer.software_genre Support vector machine Intrusion Internet of Things business computer Analysis method
Statistics and Probability, General Engineering, Artificial Intelligence
Statistics and Probability, General Engineering, Artificial Intelligence
Microsoft Academic Graph classification: Value (ethics) Security analysis Coronavirus disease 2019 (COVID-19) business.industry Computer science Information security Computer security computer.software_genre Support vector machine Intrusion Internet of Things business computer Analysis method
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).1 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- China University of Mining and Technology China (People's Republic of)
With the continuous progress of social science and technology, the development of the Internet of things is growing With the development of Internet of things, security problems emerge in endlessly During the period of COVID-19, the Internet of Things have been widely used to fight virus outbreak However, the most serious security problem of the Internet of things is network intrusion This paper proposes a balanced quadratic support vector machine information security analysis method for Internet of things Compared with the traditional support vector machine Internet of things security analysis method, this method has a higher accuracy, and can shorten the detection time, with efficient and powerful characteristics The method proposed in this paper has certain reference value to the Internet of things network intrusion problem It provides better security for the Internet of things during the protection period of covid-19 © 2020 - IOS Press and the authors All rights reserved