Paper Title
Performance Evaluation and Detection of Malware-Strategic Survey

Abstract
In an ever-growing digital age, computers hold a significant role in society. However, with this reliance comes a concerning rise in malware and its widespread impact. As this malicious software continues to evolve and increase in number, it poses an ongoing threat that demands constant vigilance and proactive measures. Cybercriminals use malware as a potent weapon to launch deliberate, malevolent assaults against expensive computer systems, which, in the absence of appropriate preventive measures, may have disastrous results. To combat this looming threat, research efforts have turned to machine learning as a favored avenue for classifying malware. The review paper aims to the diverse technology used for detecting malware and its effectiveness Keywords - Malware, Cybersecurity, Machine Learning