A bio inspired optimization algorithm for network intrusion detection /
Aliaa Yehia Mahmoud Rassem
A bio inspired optimization algorithm for network intrusion detection / خوارزمية الامثلية الحيوية لاكتشاف هجمات التسلل للشبكات Aliaa Yehia Mahmoud Rassem ; Supervised Mohamed Rasmy , Omar Soliman - Cairo : Aliaa Yehia Mahmoud Rassem , 2013 - 109 Leaves ; 30cm
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
Fratures selection Immune clonal algorithm Vaccine
A bio inspired optimization algorithm for network intrusion detection / خوارزمية الامثلية الحيوية لاكتشاف هجمات التسلل للشبكات Aliaa Yehia Mahmoud Rassem ; Supervised Mohamed Rasmy , Omar Soliman - Cairo : Aliaa Yehia Mahmoud Rassem , 2013 - 109 Leaves ; 30cm
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
Fratures selection Immune clonal algorithm Vaccine