RDClass : on using relative distance of keywords for accurate network traffic classification

Author:

Swarnkar Mayank1,Hubballi Neminath1

Affiliation:

1. Discipline of Computer Science and Engineering, Indian Institute of Technology IndoreSimrol453552India

Publisher

Institution of Engineering and Technology (IET)

Subject

Control and Optimization,Management Science and Operations Research,Computer Networks and Communications

Reference22 articles.

1. NeTraMark

2. TCP/IP traffic classification based on port numbers;Schneider P.;Div. Appl. Sci.,1996

3. Moore D. Keys K. Koga R.et al: ‘The CoralReef software suite as a tool for system and network administrators’.Proc. 15th USENIX Int. Conf. on System Administration San Diego California December2001 pp.133–144

4. Wang Y. Yun X. Shafiq M.Z.et al: ‘A semantics aware approach to automated reverse engineering unknown protocols’.IEEE Proc. 20th Int. Conf. on Network Protocols (ICNP) Austin Texas October2012 pp.1–10

5. A Semantics-Aware Approach to the Automated Network Protocol Identification

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1. HClass: Fast hybrid network traffic classification with bit and keyword level signatures;Journal of High Speed Networks;2024-06-11

2. OptiClass : An Optimized Classifier for Application Layer Protocols Using Bit Level Signatures;ACM Transactions on Privacy and Security;2024-01-10

3. Design of Monitoring Algorithm for Abnormal Network Traffic Sequence Based on Wavelet Transform;2023 2nd International Conference on Data Analytics, Computing and Artificial Intelligence (ICDACAI);2023-10-17

4. KeyClass: Efficient keyword matching for network traffic classification;Computer Communications;2022-03

5. Network traffic classification for data fusion: A survey;Information Fusion;2021-08

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