{"title":"Research on Key Technology of VPN Protocol Recognition","authors":"Jinhai Zhang","doi":"10.1109/IICSPI.2018.8690472","DOIUrl":null,"url":null,"abstract":"With the VPN technology is widely used by enterprises and individuals, in order to guarantee the security of data transmission, VPN traffic has characteristics of encryption and privacy, but due to the increasing intensity of encryption, VPN routing protocol for the audit is more and more difficult, so the security of VPN network security technology has become a restricting factor for VPN protocol identification. In the field of VPN protocol recognition, the identification of encrypted data in VPN protocol is a key. Therefore, a new self correlation randomness detection algorithm is proposed in this paper.","PeriodicalId":6673,"journal":{"name":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference of Safety Produce Informatization (IICSPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICSPI.2018.8690472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
With the VPN technology is widely used by enterprises and individuals, in order to guarantee the security of data transmission, VPN traffic has characteristics of encryption and privacy, but due to the increasing intensity of encryption, VPN routing protocol for the audit is more and more difficult, so the security of VPN network security technology has become a restricting factor for VPN protocol identification. In the field of VPN protocol recognition, the identification of encrypted data in VPN protocol is a key. Therefore, a new self correlation randomness detection algorithm is proposed in this paper.
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