Advances in network security and new anomaly detection techniques
Year: 2025
Type: article
Abstract: Anomaly detection in diverse domains is confronted with the challenges posed by the increasing volume, velocity, and complexity of data. This paper presents a comprehensive review of recent advancements and research trends in anomaly detection across various domains, including high-dimensional big data, sensor systems, information and communication technology, IoT data, energy consumption, and real-time networks amidst cyber-attacks. Through a systematic analysis of recent literature, this review synthesizes key findings, methodologies, and challenges, providing insights into current strategies and future directions for anomaly detection technology. The reviewed papers highlight the importance of addressing domain-specific challenges, fostering interdisciplinary collaboration, and advancing methodological innovation to develop robust, scalable, and effective anomaly detection solutions capable of meeting the evolving demands of today's data-driven world.
Authors: Balali Dehkordi, Sajad, Nasri, Saeed, Dami, Sina
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6973960129