Automated Big Traffic Analytics for Cyber Security

Preprint English OPEN
Miao, Yuantian; Ruan, Zichan; Pan, Lei; Wang, Yu; Zhang, Jun; Xiang, Yang;
  • Subject: Computer Science - Cryptography and Security

Network traffic analytics technology is a cornerstone for cyber security systems. We demonstrate its use through three popular and contemporary cyber security applications in intrusion detection, malware analysis and botnet detection. However, automated traffic analytic... View more
  • References (13)
    13 references, page 1 of 2

    [1] T. T. Nguyen and G. Armitage, “A survey of techniques for internet traffic classification using machine learning,” IEEE Communications Surveys & Tutorials, vol. 10, no. 4, pp. 56-76, 2008.

    [2] X. Gui, J. Liu, M. Chi, C. Li, and Z. Lei, “Analysis of malware application based on massive network traffic,” China Communications, vol. 13, no. 8, pp. 209-221, 2016.

    [3] A. Dainotti, A. King, F. Papale, A. Pescape et al., “Analysis of a/0 stealth scan from a botnet,” in Proceedings of the 2012 ACM conference on Internet measurement conference. ACM, 2012, pp. 1-14.

    [4] S. Suthaharan, “Big data classification: Problems and challenges in network intrusion prediction with machine learning,” ACM SIGMETRICS Performance Evaluation Review, vol. 41, no. 4, pp. 70-73, 2014.

    [5] J. Zhang, X. Chen, Y. Xiang, W. Zhou, and J. Wu, “Robust network traffic classification,” IEEE/ACM transactions on networking, vol. 23, no. 4, pp. 1257-1270, 2015.

    [6] J. Ma, K. Levchenko, C. Kreibich, S. Savage, and G. M. Voelker, “Unexpected means of protocol inference,” in Proceedings of the 6th ACM SIGCOMM conference on Internet measurement. ACM, 2006, pp. 313-326.

    [7] Y. Wang, Y. Xiang, J. Zhang, W. Zhou, G. Wei, and L. T. Yang, “Internet traffic classification using constrained clustering,” IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 11, pp. 2932-2943, 2014.

    [8] Z. Ling, J. Luo, K. Wu, W. Yu, and X. Fu, “Torward: Discovery, blocking, and traceback of malicious traffic over tor,” IEEE Transactions on Information Forensics and Security, vol. 10, no. 12, pp. 2515-2530, 2015.

    [9] M. Antonakakis, R. Perdisci, Y. Nadji, N. Vasiloglou, S. Abu-Nimeh, W. Lee, and D. Dagon, “From throw-away traffic to bots: detecting the rise of dga-based malware,” in Presented as part of the 21st USENIX Security Symposium (USENIX Security 12), 2012, pp. 491-506.

    [10] A. W. Moore and D. Zuev, “Internet traffic classification using bayesian analysis techniques,” in ACM SIGMETRICS Performance Evaluation Review, vol. 33, no. 1. ACM, 2005, pp. 50-60.

  • Related Organizations (1)
  • Metrics
Share - Bookmark