Leveraging Artificial Intelligence for Enhanced Detection and Mitigation of DDoS Attacks

المؤلفون

  • Abdulssalam Jomah Akroma Department of Computer Science, College of Science, Bani Waleed University, Bani Waleed, Libya
  • Rabee Hamza Gareeb General Department, Faculty of Economy, Sabratha University, Sabratha, Libya

الكلمات المفتاحية:

Artificial Intelligence، Machine Learning، Deep Learning، Distributed Denial of Service (DDoS) Attacks

الملخص

The advent of Artificial Intelligence (AI) has significantly transformed cybersecurity, providing advanced mechanisms for threat detection and mitigation. Distributed Denial of Service (DDoS) attacks, one of the most common and disruptive cyber threats, have evolved into more sophisticated and harder-to-mitigate forms. AI has emerged as a crucial tool in combating these attacks by identifying patterns, detecting anomalies, and responding in real time. This paper explores the role of AI in detecting and mitigating DDoS attacks, presents an experimental implementation of AI-based detection, and discusses key algorithms used in combating such attacks. Additionally, a comparative analysis between traditional and AI-based methods is conducted to highlight the effectiveness, challenges, and future potential of AI in cybersecurity.

Dimensions

منشور

2025-04-21

كيفية الاقتباس

Abdulssalam Jomah Akroma, & Rabee Hamza Gareeb. (2025). Leveraging Artificial Intelligence for Enhanced Detection and Mitigation of DDoS Attacks. مجلة شمال إفريقيا للنشر العلمي (NAJSP), 3(2), 36–42. استرجع في من https://najsp.com/index.php/home/article/view/423

إصدار

القسم

محور العلوم التطبيقية والطبيعية