Two-layer detection framework with a high accuracy and efficiency for a malware family over the TLS protocol

Author:

Zheng RongfengORCID,Liu Jiayong,Liu Liang,Liao Shan,Li Kai,Wei Jihong,Li Li,Tian Zhiyi

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference37 articles.

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3. Systems C. Cisco 2018 Annual Cybersecurity Report; 2018. Available from: https://www.cisco.com/c/dam/m/digital/elq-cmcglobal/witb/acr2018/acr2018final.pdf?dtid=odicdc000016&ccid=cc000160&oid=anrsc005679&ecid=8196&elqTrackId=686210143d34494fa27ff73da9690a5b&elqaid=9452&elqat=2.

4. Corporation TM. C&C Commonly Used Port; 2019. Available from: https://attack.mitre.org/techniques/T1043/.

5. Chen YC, Li YJ, Tseng A, Lin T. Deep learning for malicious flow detection. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE; 2017. p. 1–7.

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