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Intrusion Detection

With the number of intrusion and hacking incidents around the world on the rise, the importance of having dependable intrusion detection;

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Implementing Intrusion Detection Systems

Configuring an Intrusion Detection System (IDS) is very challenging, and if improperly configured, an IDS is rendered ineffective. Packed;

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State Of The Art In Intrusion Prevention

The State of the Art in Intrusion Prevention and Detection analyzes the latest trends and issues surrounding intrusion detection systems;

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The State of the Art in Intrusion Prevention and Detection

The State of the Art in Intrusion Prevention and Detection analyzes the latest trends and issues surrounding intrusion detection systems;

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The Practical Intrusion Detection Handbook

Intrusion detection systems are increasingly recognized as a key weapon in the war against computer crime. In The Practical Intrusion;

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Practical Intrusion Analysis

, Cofounder, Stratum Security The Only Definitive Guide to New State-of-the-Art Techniques in Intrusion Detection and Prevention;

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Metrics for Intrusion Detection in Wireless Sensor Networks

attacks. In this book a novel approach for intrusion detection in wireless sensor networks is developed. Common performance and network metrics;

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Viable Network Intrusion Detection

Network intrusion detection systems (NIDS) continuously monitor network traffic for malicious activity, raising alerts when detecting;

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Recent Advances in Intrusion Detection

This book constitutes the refereed proceedings of the 9th International Symposium on Recent Advances in Intrusion Detection, RAID 2006;

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Intrusion Detection Networks

intrusion detection network (IDN). Using overlay networks that allow an intrusion detection system (IDS) to exchange information, IDNs can;

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Intrusion Detection with Artificial Neural Networks

Intrusion detection system is a detection mechanism that detects unauthorized, malicious presents in the computer systems. The purpose;

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Online and Adaptive Signature Learning for Intrusion Detection

This thesis presents the case of dynamically and adaptively learning signatures for network intrusion detection using genetic based machine;

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Network Anomaly Detection

, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or;

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Security In Distributed And Networking Systems

, authentication, intrusion detection, privacy and anonymity, security architectures and protocols, security theory and tools, secrecy and integrity, and;

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Network Intrusion Detection

Written to be both a training aid and a technical reference for intrusion detection analysts, Northcutt's book contains unparalleled;

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Managing Security with Snort and IDS Tools

Intrusion detection is not for the faint at heart. But, if you are a network administrator chances are you're under increasing pressure to;

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Transactions on Computational Science XXXI

areas of application include facial recognition, musical analysis, the diagnosis of retinal disorder, quantum circuits, intrusion detection;

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Analyzing Security, Trust, and Crime in the Digital World

on intrusion detection and authentication techniques in order to further defend their own systems and protect the information therein.;

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Recent Advances in Intrusion Detection

in Intrusion Detection Systems (RAID 2010), which took place in Ottawa, Ontario, Canada, during September 15-17, 2010. As in the past, the symposium;

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Stateful intrusion detection in high-speed networks

The present work is aimed to develop and analyze a novel model for distributed stateful intrusion detection able to scale in order to keep;

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Principles of Information Security

methods, intrusion detection and prevention, cloud security protocols, and cryptography. Section 1 focuses on user authentication, describing a;

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Einde inhoud

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