Adaptive network intrusion detection system using a hybrid approach
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[1] Dirk Ourston,et al. Applications of hidden Markov models to detecting multi-stage network attacks , 2003, 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the.
[2] Juan E. Tapiador,et al. Detection of Web-based attacks through Markovian protocol parsing , 2005, 10th IEEE Symposium on Computers and Communications (ISCC'05).
[3] Xin Xu,et al. Defending DDoS Attacks Using Hidden Markov Models and Cooperative Reinforcement Learning , 2007, PAISI.
[4] WEIJIE CAI,et al. NETWORK TRAFFIC ANOMALY DETECTION USING TCP HEADER INFORMATION , 2006 .
[5] Rajagopalan Vijayasarathy,et al. A system approach to network modeling for DDoS detection using a Naìve Bayesian classifier , 2011, 2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011).
[6] Lawrence R. Rabiner,et al. A tutorial on hidden Markov models and selected applications in speech recognition , 1989, Proc. IEEE.
[7] Vishwas Sharma,et al. Usefulness of DARPA dataset for intrusion detection system evaluation , 2008, SPIE Defense + Commercial Sensing.
[8] Reda Alhajj,et al. Data stream mining architecture for network intrusion detection , 2004, Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004..
[9] Salvatore J. Stolfo,et al. Real time data mining-based intrusion detection , 2001, Proceedings DARPA Information Survivability Conference and Exposition II. DISCEX'01.
[10] Hong Huang,et al. Network Traffic Anomaly Detection , 2014, ArXiv.