Network traffic technology monitoring and simulation in English online class based on machine learning algorithms
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08422-3.pdf
Reference15 articles.
1. Cejka T, Bartos V, Svepes M, Rosa Z, Kubatova H (2016) “NEMEA: a framework for network traffic analysis,” In: 2016 12th international conference on network and service management (CNSM), pp. 195–201. IEEE
2. Cheplygina V, de Bruijne M, Pluim JP (2019) Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis. Med Image Anal 54:280–296
3. Deng J, Han R, Mishra S (2005) “Countermeasures against traffic analysis attacks in wireless sensor networks,” In: first international conference on security and privacy for emerging areas in communications networks (SECURECOMM'05), pp. 113–126
4. Gu Y (2020) Enhancement of college English teachers’ information literacy in information environment. Int Educ Stud 13(4):106–112
5. Hong JW, Park SU, Kang YM, Park JT (2001) Enterprise network traffic monitoring, analysis, and reporting using web technology. J Netw Syst Manag 9(1):89–111
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