Advanced AI-Powered Intrusion Detection Systems in Cybersecurity Protocols for Network Protection

Conventional rule-based network intrusion detection systems (NIDS) find it difficult to remain with the increasing complexity of cyber-attacks. To solve these issues, this study examines the development of NIDS as well as the transformative potential of artificial intelligence (AI). AI-enhanced NIDS...

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Bibliographic Details
Published in:Procedia computer science Vol. 259; pp. 140 - 149
Main Authors: Rai, Hari Mohan, Pal, Aditya, Ergash o’g’li, Rashidov Akbar, Kholmirzokhon Ugli, Bobokhonov Akhmadkhon, Shokirovich, Yarmatov Sherzojon
Format: Journal Article
Language:English
Published: Elsevier B.V 2025
Subjects:
Artificial Intelligence
Cybersecurity
Intrusion Detection Systems
Network Security
NIDS
Cybersecurity
Intrusion Detection Systems
Artificial Intelligence
NIDS
Network Security
ISSN:1877-0509, 1877-0509
Online Access:Get full text
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Summary:Conventional rule-based network intrusion detection systems (NIDS) find it difficult to remain with the increasing complexity of cyber-attacks. To solve these issues, this study examines the development of NIDS as well as the transformative potential of artificial intelligence (AI). AI-enhanced NIDS can efficiently identify and respond to known and unknown threats in real-time by utilizing machine learning (ML) techniques. The system can differentiate between typical network behavior and abnormalities using both supervised and unsupervised learning techniques, as opposed to depending exclusively on pre-established rules. The accuracy and adaptability of the system are further improved by deep learning (DL) architectures like recurrent neural networks (RNNs) and convolutional neural networks (CNNs). The paper explores the past developments of intrusion detection, comparing rule-based approaches to modern AI-driven systems. It discusses cutting-edge techniques like anomaly detection, ensemble methods, and hybrid models. While Recognizing issues such as adversarial attacks and interpretability, the article underlines the importance of AI-enhanced NIDS in protecting digital infrastructure. This study provides a complete overview, unique insights, and practical advice for cybersecurity experts looking to install and optimize AI-powered intrusion detection solutions.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2025.03.315