Optimization of Intrusion Detection Using Machine Learning and Deep Learning Algorithms

مؤسسة الشرق الأوسط للنشر العلمي

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الإصدار الثالث والعشرون: 06 سبتمبر 2024
من مجلة الشرق الأوسط للنشر العلمي

Optimization of Intrusion Detection Using Machine Learning and Deep Learning Algorithms

Rachid Tahri Abdellatif Lasbahani Abdessamad Jarrar & Youssef Balouki
Abstract

Intrusion detection systems (IDS) have become a cornerstone in the realm of cybersecurity. With the exponential growth of the internet and the increasing sophistication of cyber-attacks, the need for robust intrusion detection mechanisms has never been more critical. IDS are designed to detect unauthorized access or anomalies within a network or a system, thereby protecting sensitive data and maintaining the integrity of information systems.

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