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A Survey of Network Based Traffic Classification Methods

Author

Listed:
  • Pooja MEHTA

    (PG Student, GTU PG School, Gandhinagar, India)

  • Ruchil SHAH

    (PG Student, GTU PG School, Gandhinagar, India)

Abstract

With the far reaching utilization of encryption systems in system applications, scrambled organize activity has as of late gotten to be an incredible challenge for organize management. These truths raise essential difficulties, making it important to devise viable answers for overseeing system traffic. Since conventional strategies are somewhat incapable and effortlessly circumvent, specific consideration has been paid to the advancement of new approaches for traffic classification. This paper focuses on different types of network classification approaches.

Suggested Citation

  • Pooja MEHTA & Ruchil SHAH, 2017. "A Survey of Network Based Traffic Classification Methods," Database Systems Journal, Academy of Economic Studies - Bucharest, Romania, vol. 7(4), pages 24-31, March.
    • Handle: RePEc:aes:dbjour:v:7:y:2017:i:4:p:24-31
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    Cited by:

    1. Gaofeng He & Bingfeng Xu & Lu Zhang & Haiting Zhu, 2018. "Mobile app identification for encrypted network flows by traffic correlation," International Journal of Distributed Sensor Networks, , vol. 14(12), pages 15501477188, December.

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