Impact of Machine Learning in Cybersecurity: A Critical Review with Insights on the Internet of Things

Machine learning plays a crucial role in enhancing cybersecurity, particularly in IoT security and safeguarding healthcare devices and data. This study highlights the utility of prominent ML algorithms in IoT security and discusses problem-solving approaches in the security domain. It briefly touches on future prospects and challenges. Results underscore ML’s efficiency in network intrusion detection, ransomware detection, and preserving medical data, advocating for its pivotal role in advancing cybersecurity practices.