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003 EG-GiCUC
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008 100428s2010 ua d f m 000 0 eng d
040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.20.03.M.Sc.2010.Sa.I
100 0 _aSalah Mohamed Hussein
245 1 0 _aIntelligent defense and detection system against internet worms /
_cSalah Mohamed Hussein ; Supervised Reem Bahgat
246 1 5 _aنظام ذكى لاكتشاف والتصدى لديدان الإنترنت
260 _aCairo :
_bSalah Mohamed Hussein ,
_c2010
300 _a120Leaves :
_bcharts ;
_c30cm
502 _aThesis (M.Sc .) - Cairo University - Faculty of Computers and Information - Department of Computer Science
520 _aEarly detection for the internet worm can have a critical effect on slowing down its propagation . This thesis proposes four cooperative methods in an approach for worm detction based on node information exchange to detect the worm's behavioral signature . The difference between the four methods is deciding the best nodes to cooperate with . The target is to achieve zero day worms in addition to detecting the well known worms
530 _aIssued also as CD
653 4 _aDetection system
653 4 _aIntelligent defense
653 4 _aInternet worms
700 0 _aReem Bahgat ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
902 _a1
905 _aFatma
_eCataloger
905 _aNazla
_eRevisor
942 _2ddc
_cTH
999 _c30148
_d30148