Emerging Trends and Challenges in Cybersecurity Data Science: A State-of-the-Art Review
Nippon Datta, Tanjim Mahmud, Mohammad Tarek Aziz, Rahul Kanti Das, Mohammad Shahadat Hossain, Karl Andersson
Abstract
Cybersecurity is the process of defending computer networks, systems, and digital data from intrusions, hacks, dam-age, and other cyber threats. It also prevents illegal access, and exploitation of sensitive and personal data, including financial records, healthcare information, and intellectual property. It is essential to extract the security incident patterns from the cybersecurity data to build a data-driven model that assists in making a cybersecurity system intelligent and automated. As the review is based on “Cybersecurity data science” So, this study is focused on recent cybersecurity data science and evaluates their methodologies as well as their findings. In this review, the research significance of cybersecurity has been explained clearly and recent activities on cybersecurity briefly described. We also summarized the reason behind several cyber attacks along with their countermeasures. It seeks to be a useful tool for scholars, industry professionals, and decision-makers by providing a comprehensive and current summary of cybersecurity, emphasizing the most important problems.