AsmaTariq(S23A14G05017) <br/><br/>
Enhancing resilience of network intrusion detection system against adversarial attacks using hybrid approach 

 - Faisalabad   (unpublished)   2025 
 - vii,74 p.  : ill.  ; 30 cm.  +CD 
<br/><br/> Submitted in fulfillment of the requirements for the degree of Master of  Computer Science in the Faculty of Computing.  Thesis supervisor: Dr. Erssa arif  Includes references  
<br/><br/>Thesis (MS)--Riphah International University, 2025 
<br/><br/><br/>English 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science--Data mining--Network--Cyber Attacks--Artificial intelligence--Detection system--Deep learning--Machine learning--FSSH
<br/><br/><label>Dewey Class. No.: </label>005  / ASM