00829nam a22001697a 4500040003600000082001300036100002800049245011300077260003800190300003700228500012400265500003800389500002500427502005500452546001200507650014000519  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resilience of network intrusion detection system against adversarial attacks using hybrid approach  aFaisalabad b(unpublished) c2025  avii,74 p.b: ill.c; 30 cm.e+CD  aSubmitted in fulfillment of the requirements for the degree of Master of  Computer Science in the Faculty of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