Malware Detection and Prevention using Artificial Intelligence Techniques

This paper discusses the increasing threat of malware in computer systems and the importance of utilizing Artificial Intelligence (AI) for detecting and preventing malware activity. It covers various aspects including the history of computing, the evolution of malware, different types of malware, existing malware detection techniques, and the potential of AI in enhancing malware detection systems. The study emphasizes the need for futuristic approaches in developing robust security tools and antivirus systems, especially in industries like finance and healthcare. It reviews current methodologies, discusses their limitations, and proposes ideas for future research directions. The research methodology involves a systematic literature review, and related work is discussed to provide insights into various malware detection techniques such as signature-based, anomaly-based, and heuristic-based methods. The paper concludes by highlighting the significance of AI in combating malware and suggests strategies to overcome existing limitations in malware detection systems.