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This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information. 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 detection techniques 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 This informative work is ideal for graduate and advanced undergraduate students interested in network security and privacy, intrusion detection systems, and data mining in security. Researchers and practitioners specializing in network security will also find the book to be a useful reference. 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.

Computer science. --- Computer software --- Computer communication systems. --- Computer security. --- Electrical engineering. --- Computer Science. --- Computer Communication Networks. --- Systems and Data Security. --- Performance and Reliability. --- Communications Engineering, Networks. --- Electric engineering --- Reusability of software --- Reusable code (Computer programs) --- Software reusability --- Informatics --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Reusability. --- Protection --- Security measures --- Engineering --- Data protection --- Security systems --- Hacking --- Software reengineering --- Generic programming (Computer science) --- Science --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Distributed processing --- Operating systems (Computers). --- Telecommunication. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Computer operating systems --- Disk operating systems --- Systems software --- Operating systems --- Intrusion detection systems (Computer security) --- IDSs (Intrusion detection systems) --- Computer networks --- Computer software—Reusability.

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• EndNote
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This indispensable text/reference presents a comprehensive overview on the detection and prevention of anomalies in computer network traffic, from coverage of the fundamental theoretical concepts to in-depth analysis of systems and methods. Readers will benefit from invaluable practical guidance on how to design an intrusion detection technique and incorporate it into a system, as well as on how to analyze and correlate alerts without prior information. 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 detection techniques 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 This informative work is ideal for graduate and advanced undergraduate students interested in network security and privacy, intrusion detection systems, and data mining in security. Researchers and practitioners specializing in network security will also find the book to be a useful reference. 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.

Telecommunication technology --- Production management --- Mass communications --- Computer architecture. Operating systems --- betrouwbaarheid --- informatica --- tekstverwerking --- computerbeveiliging --- OS (operating system) --- computernetwerken --- communicatietechnologie

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