00986nam a22002057a 4500952009700000999001700097040003600114082001300150100002800163245011300191260003800304300003700342500012400379500003800503500002500541502005500566546001200621650014000633942000700773  00104070afsdbfsdd2025-03-11l0o005 ASMp112321r2025-03-11 00:00:00t1w2025-03-11yTH  c57035d57035  cRiphah International University  a005bASM  aAsmaTariq(S23A14G05017)  aEnhancing resilience of network intrusion detection system against adversarial attacks using hybrid approach  aFaisalabad b(unpublished) c2025  avii,74 p.b: ill.c; 30 cm.e+CD  aSubmitted in fulfillment of the requirements for the degree of Master of  Computer Science in the Faculty of Computing.  aThesis supervisor: Dr. Erssa arif  aIncludes references   aThesis (MS)--Riphah International University, 2025  aEnglish  aComputer sciencevData miningvNetworkvCyber AttacksvArtificial intelligencevDetection systemvDeep learningvMachine learningvFSSH  cTH