000 01468nam a2200385 i 4500
005 20250930145622.0
008 161207s2016 my a m 000 0 eng d
020 _cHadiah
039 9 _a201702271151
_bhendon
_c201612071236
_dazam
_y12-07-2016
_zazam
040 _aUKM
_erda
090 _aTK5105.59.Q347 2016 3 tesis
090 _aTK5105.59
_b.Q347 2016 3
100 1 _aQassim, Qais Saif,
_eauthor.
245 1 0 _aImproving anomaly NIDS alarms based on alarm classification approach /
_cQais Saif Qassim.
264 0 _c2016.
300 _a309 pages :
_billustrations ;
_c30 cm.
336 _atext
_2rdacontent
337 _aunmediated
_2rdamedia
338 _avolume
_2rdacarrier
500 _aCd yang di sertakan duplikasi kepada tesis bercetak dan tidak boleh dirujuk / dipinjam.
502 _aTesis (Ph.D.)- Universiti Kebangsaan Malaysia, 2016.
504 _aReferences : pages [210]-227..
610 2 0 _aUniversiti Kebangsaan Malaysia
_xDissertations.
_962865
650 0 _aIntrusion detection systems (Computer security).
650 0 _aComputer networks
_xSecurity measures.
650 0 _aComputer security.
650 0 _aDissertations, Academic
_zMalaysia.
_962866
907 _a.b16395037
_b2025-07-18
_c2019-11-12
942 _c3
_n0
_kTK5105.59.Q347 2016 3 tesis
914 _avtls003613596
990 _aaaw/ha
991 _aFakulti Teknologi dan Sains Maklumat
998 _al
_b2016-07-12
_cm
_dx
_feng
_gmy
_y0
_z.b16395037
999 _c688442
_d688442