Network Traffic Anomaly Detection and Prevention / Computer Communications and Networks (PDF)

Topics and features:

• Introduces the essentials of traffic management in high speed networks, detailing types of anomalies, network vulnerabilities, and a taxonomy of network attacks
• Describes a systematic approach to generating large network intrusion datasets, and reviews existing synthetic, benchmark, and real-life datasets
• Provides a detailed study of network anomaly detectiontechniques and systems under six different categories: statistical, classification, knowledge-base, cluster and outlier detection, soft computing, and combination learners
• Examines alert management and anomaly prevention techniques, including alert preprocessing, alert correlation, and alert post-processing
• Presents a hands-on approach to developing network traffic monitoring and analysis tools, together with a survey of existing tools
• Discusses various evaluation criteria and metrics, covering issues of accuracy, performance, completeness, timeliness, reliability, and quality
• Reviews open issues and challenges in network traffic anomaly detection and prevention

Dr. Monowar H. Bhuyan is an Associate Professor and Head of the Department of Computer Science and Engineering at Kaziranga University, Jorhat, India. Dr. Dhruba K. Bhattacharyya is a Professor in the Department of Computer Science and Engineering at Tezpur University, India. Dr. Jugal K. Kalita is a Professor in the Department of Computer Science at the University of Colorado, Colorado Springs, CO, USA.