Malware Detection Techniques based on Machine Learning

Abstract

Artificial intelligence and machine learning have become crucial tools in the fight against cyber attacks. With the constant evolution of technology, traditional methods of protecting networks are no longer enough. This is where AI and machine learning come into play, by analyzing vast amounts of data and detecting patterns or anomalies that might indicate a potential threat. This paper aims at understanding and analyzing the implementation of Artificial Intelligence (AI) and Machine Learning (ML) systems in enhancing cyber security. By detecting patterns and anomalies in network traffic, AI algorithms can quickly identify potential threats and reduce response time, far surpassing human capabilities. This not only saves valuable time and resources for organizations but also improves overall protection against cyber-attacks. As technology continues to advance, it is crucial that we leverage AI for cybersecurity to stay ahead in the fight against malicious actors. With proper utilization of AI and ML technologies, we can ensure a safer digital future for all users..