Malware Analysis and Detection Techniques
As the digital landscape evolves, the sophistication and frequency of malware attacks have escalated, necessitating advanced methodologies for their detection, analysis, and defence. This research delves into state-of-the-art techniques and innovative strategies that are shaping the future of malware combat. We explore the application of deep learning and artificial intelligence in identifying and classifying malware, emphasizing the role of adversarial machine learning in enhancing detection resilience.