ANALYZING MALWARE EVASION TECHNIQUES: A COMPREHENSIVE STUDY OF DETECTION STRATEGIES IN ANTIVIRUS SOFTWARE

This paper examines the critical role of antivirus software in combating malware while addressing the growing challenges posed by sophisticated evasion techniques. It explores various antivirus detection methods, including signature-based, heuristic, and behavior-based analyses, alongside advanced evasion strategies employed by attackers, such as process injection, code obfuscation, and privilege escalation. The theoretical background provides insights into the evolution of malware and the limitations of conventional detection approaches. The methodology outlines how these evasion techniques operate, supported by an analysis section that presents graphs and charts illustrating their effectiveness, particularly in malware types like worms. The findings indicate that current antivirus solutions struggle against multi-stage and adaptive malware, highlighting the urgent need for more dynamic security measures. The paper concludes by discussing future directions for research and improvements in antivirus strategies to effectively counter the evolving threat landscape.