Author:
Pluskal Jan,Lichtner Ondrej,Rysavy Ondrej
Publisher
Springer International Publishing
Reference32 articles.
1. S. Alcock and R. Nelson, Libprotoident: Traffic Classification Using Lightweight Packet Inspection, Technical Report, WAND Network Research Group, Computer Science Department, University of Waikato, Hamilton, New Zealand, 2012.
2. N. Al Khater and R. Overill, Forensic network traffic analysis, Proceedings of the Second International Conference on Digital Security and Forensics, 2015.
3. T. Auld, A. Moore and S. Gull, Bayesian neural networks for Internet traffic classification, IEEE Transactions on Neural Networks, vol. 18(1), pp. 223–239, 2007.
4. L. Breiman, Random forests, Machine Learning, vol. 45(1), pp. 5–32, 2001.
5. E. Bursztein, Probabilistic identification of hard to classify protocols, Proceedings of the Second IFIP WG 11.2 International Conference on Information Security Theory and Practices: Smart Devices, Convergence and Next Generation Networks, pp. 49–63, 2008.
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Research Perspective on Digital Forensic Tools and Investigation Process;Illumination of Artificial Intelligence in Cybersecurity and Forensics;2022
2. A survey of machine learning applications in digital forensics;Trends in Computer Science and Information Technology;2021-04-08
3. Netfox detective: A novel open-source network forensics analysis tool;Forensic Science International: Digital Investigation;2020-12
4. Network Forensic Analysis for Lawful Enforcement on Steroids, Distributed and Scalable;Proceedings of the 6th Conference on the Engineering of Computer Based Systems;2019-09-02