Publications

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Aziz, A. S. A., M. Salama, A. E. Hassanien, and E. L. Sanaa, "Detectors generation using genetic algorithm for a negative selection inspired anomaly network intrusion detection system", Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on: IEEE, pp. 597–602, 2012. Abstract
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Aziz, A. S. A., A. T. Azar, M. A. Salama, A. E. Hassanien, and S. E. - O. Hanafy, "Genetic algorithm with different feature selection techniques for anomaly detectors generation", Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on: IEEE, pp. 769–774, 2013. Abstract
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Aziz, A. S. A., A. T. Azar, A. E. Hassanien, and S. E. - O. Hanafy, "Negative Selection Approach Application in Network Intrusion Detection Systems", arXiv preprint arXiv:1403.2716, 2014. Abstract
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Aziz, A. S. A., S. E. - O. Hanafy, and A. E. Hassanien, "Multi-agent artificial immune system for network intrusion detection and classification", 9th International Conference on Soft Computing Models in Industrial and Environmental Applications, Bilbao, Spain, 25th - 27th Jun, 2014.
Aziz, A. S. A., E. L. Sanaa, and A. E. Hassanien, "Comparison of classification techniques applied for network intrusion detection and classification", Journal of Applied Logic: Elsevier, 2016. Abstract
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Aziz, A. S. A., A. E. Hassanien, S. E. - O. Hanaf, and M. F. Tolba, "Multi-layer hybrid machine learning techniques for anomalies detection and classification approach", Hybrid Intelligent Systems (HIS), 2013 13th International Conference on: IEEE, pp. 215–220, 2013. Abstract
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Aziz, A. S. A., M. Salama, A. E. Hassanien, and E. L. Sanaa, "Detectors generation using genetic algorithm for a negative selection inspired anomaly network intrusion detection system", Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on: IEEE, pp. 597–602, 2012. Abstract
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Aziz, A. S. A., M. Salama, A. E. Hassanien, and E. L. Sanaa, "Detectors generation using genetic algorithm for a negative selection inspired anomaly network intrusion detection system", Computer Science and Information Systems (FedCSIS), 2012 Federated Conference on: IEEE, pp. 597–602, 2012. Abstract
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Aziz, A. S. A., M. A. Salama, A. E. Hassanien, and S. E. - O. Hanafi, "Artificial Immune System Inspired Intrusion Detection System Using Genetic Algorithm.", Informatica (Slovenia), vol. 36, no. 4, pp. 347–357, 2012. Abstract
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Aziz, A. S. A., A. T. Azar, A. E. Hassanien, and S. E. - O. Hanafy, "Continuous features discretization for anomaly intrusion detectors generation", Soft computing in industrial applications: Springer International Publishing, pp. 209–221, 2014. Abstract
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Aziz, A. S. A., and A. E. Hassanien, "Multilayer Machine Learning-Based Intrusion Detection System", Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations: Springer Berlin Heidelberg, pp. 225–247, 2014. Abstract
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Aziz, A. S. A., S. E. - O. Hanafi, and A. E. Hassanien, "Multi-agent artificial immune system for network intrusion detection and classification", International Joint Conference SOCO’14-CISIS’14-ICEUTE’14: Springer International Publishing, pp. 145–154, 2014. Abstract
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Aziz, A. S. A., M. A. Salama, A. E. Hassanien, and S. E. - O. Hanafi, "Artificial Immune System Inspired Intrusion Detection System Using Genetic Algorithm.", Informatica (Slovenia), vol. 36, no. 4, pp. 347–357, 2012. Abstract
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Aziz, A. S. A., M. A. Salama, A. E. Hassanien, and S. E. - O. Hanafi, "Artificial Immune System Inspired Intrusion Detection System Using Genetic Algorithm.", Informatica (Slovenia), vol. 36, no. 4, pp. 347–357, 2012. Abstract
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Aziz, A. S. A., A. T. Azar, A. E. Hassanien, and S. E. - O. Hanafy, "Continuous features discretization for anomaly intrusion detectors generation", Soft computing in industrial applications: Springer International Publishing, pp. 209–221, 2014. Abstract
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Aziz, A. S. A., M. M. Fouad, and A. E. Hassanien, "Cloud Computing Forensic Analysis: Trends and Challenges", Multimedia Forensics and Security: Springer International Publishing, pp. 3–23, 2017. Abstract
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Aziz, A. S. A., A. T. Azar, A. E. Hassanien, and S. E. - O. Hanafy, "Continuous features discretization for anomaly intrusion detectors generation", Soft computing in industrial applications: Springer International Publishing, pp. 209–221, 2014. Abstract
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Azar, A. T., S. S. Kumar, H. H. Inbarani, and A. E. Hassanien, "Pessimistic multi-granulation rough set-based classification for heart valve disease diagnosis", International Journal of Modelling, Identification and Control, vol. 26, no. 1: Inderscience Publishers (IEL), pp. 42–51, 2016. Abstract
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Azar, A. T., S. A. El-Said, and A. E. Hassanien, "Fuzzy and hard clustering analysis for thyroid disease", Computer Methods and Programs in Biomedicine (Elsiver), vol. Available online 26 January 2013, 2013. Website
Azar, A. T., H. I. Elshazly, A. E. Hassanien, and A. M. Elkorany, "A random forest classifier for lymph diseases", Computer methods and programs in biomedicine, vol. 113, no. 2: Elsevier, pp. 465–473, 2014. Abstract
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Azar, A. T., and A. E. Hassanien, "Dimensionality reduction of medical big data using neural-fuzzy classifier", Soft computing, vol. 19, no. 4: Springer Berlin Heidelberg, pp. 1115–1127, 2015. Abstract
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Azar, A. T., A. E. Hassanien, T. - H. Kim, and others, "Expert system based on neural-fuzzy rules for thyroid diseases diagnosis", Computer Applications for Bio-Technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 94–105, 2012. Abstract
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Azar, A. T., A. E. Hassanien, T. - H. Kim, and others, "Expert system based on neural-fuzzy rules for thyroid diseases diagnosis", Computer Applications for Bio-Technology, Multimedia, and Ubiquitous City: Springer Berlin Heidelberg, pp. 94–105, 2012. Abstract
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Azar, A. T., and A. E. Hassanien, "Editorial on: Fuzzy Logic in Biomedicine", Computers in biology and medicine, vol. 64: Elsevier Limited, pp. 321, 2015. Abstract
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Azar, A. T., H. I. Elshazly, A. E. Hassanien, and A. M. Elkorany, "Random Forest Classifier for Lymph Diseases", Computer Methods and Programs in Biomedicine , Elsevier 2013 , vol. 113, issue 2, pp. 465-473 , 2014. Website
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