Application of Bayesian belief networks and fuzzy cognitive maps in intrusion analysis

[1]  Md. Nasir Sulaiman,et al.  K-Means Clustering and Naive Bayes Classification for Intrusion Detection , 2016 .

[2]  Shang-Liang Chen,et al.  Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.

[3]  Kuokkwee Wee,et al.  A method for root cause analysis with a Bayesian belief network and fuzzy cognitive map , 2015, Expert Syst. Appl..

[4]  Gregory F. Cooper,et al.  The Computational Complexity of Probabilistic Inference Using Bayesian Belief Networks , 1990, Artif. Intell..

[5]  David W. Aha,et al.  Instance-Based Learning Algorithms , 1991, Machine Learning.

[6]  El-Sayed M. El-Alfy,et al.  A multiclass cascade of artificial neural network for network intrusion detection , 2017, J. Intell. Fuzzy Syst..

[7]  Ron Kohavi,et al.  The Power of Decision Tables , 1995, ECML.

[8]  Mahmoud Jazzar,et al.  Using Fuzzy Cognitive Maps to Reduce False Alerts in SOM-Based Intrusion Detection Sensors , 2008, 2008 Second Asia International Conference on Modelling & Simulation (AMS).

[9]  Ryan Turner,et al.  A model explanation system , 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

[10]  Zhicheng Wen,et al.  Network security situation abnormal detection method based on hypothesis test , 2016, J. Comput. Methods Sci. Eng..

[11]  Salvatore J. Stolfo,et al.  A data mining framework for building intrusion detection models , 1999, Proceedings of the 1999 IEEE Symposium on Security and Privacy (Cat. No.99CB36344).

[12]  Reazul Kabir,et al.  A Network Intrusion Detection Framework based on Bayesian Network using Wrapper Approach , 2017 .

[13]  H. Altay Güvenir,et al.  Classification by Voting Feature Intervals , 1997, ECML.

[14]  Kyoung-Yun Kim,et al.  Systematic causal knowledge acquisition using FCM Constructor for product design decision support , 2011, Expert Syst. Appl..