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005 | 20250223030920.0 | ||
008 | 131225s2013 ua f m 000 0 eng d | ||
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_aEG-GiCUC _beng _cEG-GiCUC |
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041 | 0 | _aeng | |
049 | _aDeposite | ||
097 | _aM.Sc | ||
099 | _aCai01.20.02.M.Sc.2013.Al.B | ||
100 | 0 | _aAliaa Yehia Mahmoud Rassem | |
245 | 1 | 2 |
_aA bio inspired optimization algorithm for network intrusion detection / _cAliaa Yehia Mahmoud Rassem ; Supervised Mohamed Rasmy , Omar Soliman |
246 | 1 | 5 | _aخوارزمية الامثلية الحيوية لاكتشاف هجمات التسلل للشبكات |
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_aCairo : _bAliaa Yehia Mahmoud Rassem , _c2013 |
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_a109 Leaves ; _c30cm |
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502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Operation Research and Decision Support | ||
520 | _aThis 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 | ||
530 | _aIssued also as CD | ||
653 | 4 | _aFratures selection | |
653 | 4 | _aImmune clonal algorithm | |
653 | 4 | _aVaccine | |
700 | 0 |
_aMohamed Rasmy , _eSupervisor |
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700 | 0 |
_aOmar Soliman , _eSupervisor |
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856 | _uhttp://172.23.153.220/th.pdf | ||
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_aNazla _eRevisor |
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_aSamia _eCataloger |
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_2ddc _cTH |
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_c44616 _d44616 |