Assessing the Effectiveness of Machine Learning in Cyber Attack Mitigation: A Review
V Gayathry, R. Sathya Bama Krishna · 2025
Cyberattacks are currently one of the most active areas of research and a serious criminal offence. In many industries, the number of people using the internet is increasing too quickly. The amount of time spent online has increased dramatically, and people and businesses are now doing many of their everyday activities online rather than in person. Despite the quick rise in the quantity of websites and applications, they remain vulnerable to attacks. Due to modern attacks and prevention techniques, traditional security features like firewalls, interruption location frameworks, antivirus software, access control records, and so on are currently ineffective in identifying these sophisticated attacks. Therefore, it is imperative to discover novel and more workable ways to stop cyberattacks. This paper's main goals are to inform academics and engineers about current threats and stimulate research on cybersecurity countermeasures for digital attacks. This study outlined the principal themes, seminal works, and major author cohorts in the field of digital attack research. In the future, the results should aid in broadening the focus of research to include a variety of subfields in the study of digital threats.