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A bio inspired optimization algorithm for network intrusion detection / Aliaa Yehia Mahmoud Rassem ; Supervised Mohamed Rasmy , Omar Soliman

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Aliaa Yehia Mahmoud Rassem , 2013Description: 109 Leaves ; 30cmOther title:
  • خوارزمية الامثلية الحيوية لاكتشاف هجمات التسلل للشبكات [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support Summary: This work proposes a new algorithm called the Quantum Vaccined Immune Clonal Algorithm with Estimation of Distribution Algorithm (QVICA-with EDA). The proposed algorithm is also applied to enhance the features selection snd the classification processes in networks to security. To enhance the features selection, the proposed algorithms is used to improve the Correlation Based Features Selection, Algorithm CFS
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Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support

This work proposes a new algorithm called the Quantum Vaccined Immune Clonal Algorithm with Estimation of Distribution Algorithm (QVICA-with EDA). The proposed algorithm is also applied to enhance the features selection snd the classification processes in networks to security. To enhance the features selection, the proposed algorithms is used to improve the Correlation Based Features Selection, Algorithm CFS

Issued also as CD

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