Authors: Tran Minh Khoa
Abstract: Network security and threat detection have become critical components of modern information systems as cyber threats continue to grow in complexity and scale. With the increasing reliance on digital networks, cloud computing, and interconnected devices, protecting network infrastructure from unauthorized access, data breaches, and malicious attacks is a major challenge. This study explores the principles and techniques of network security and advanced threat detection mechanisms, including intrusion detection systems, intrusion prevention systems, firewalls, and encryption protocols. It examines the role of artificial intelligence and machine learning in identifying patterns, detecting anomalies, and predicting potential threats in real time. The paper also discusses the importance of continuous monitoring, network traffic analysis, and security policies in maintaining a secure environment. Key application areas such as enterprise networks, financial systems, healthcare infrastructure, and cloud environments are analyzed. Furthermore, the study highlights critical challenges including evolving cyber threats, false positives in detection systems, scalability issues, and integration complexity. The findings emphasize the need for intelligent, adaptive, and multi-layered security approaches to effectively safeguard modern network systems.
DOI: https://doi.org/10.5281/zenodo.20283594
