Strategic Integration of User-Centric Data Mining: Advancing Ethical Hacking Through Analytical Proficiency
摘要
Ethical hacking serves as a proactive cybersecurity strategy employed by authorized professionals to safeguard computers and networks from malicious hackers. This study examines the synergistic relationship between ethical hacking and data mining, explaining the collaborative efforts that enhance cybersecurity resilience. It describes how analytical proficiency, particularly within the domain of user-centric data mining, contributes to the extension of cybersecurity measures. The comprehensive review investigates into various aspects, including user behavior analysis, predictive modeling for vulnerability assessment, anomaly detection, incident response, password and authentication analysis, and countermeasures against social engineering. The review not only sheds light on current practices but also considers future research directions, aiming to contribute to ongoing discussions on stimulating digital security against the evolving landscape of cyber threats.