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Intrusion Detection using Feature Selection and Hybridized

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The Practical Intrusion Detection Handbook

intrusion detection, including host-based, network-based, and hybrid solutions; then offers practical selection criteria; and reviews the key;

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Network Anomaly Detection

detection system. It offers a thorough introduction to the state of the art in network anomaly detection using machine learning approaches and;

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Feature Selection for High-Dimensional Data

in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost;

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Configure intrusion detection and alerts - Reduce security risks using Azure Security Service

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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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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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Principles of Information Security

prevention, describing feature selection for intrusion detection by random forest, mobile phishing attacks and mitigation techniques, enhanced;

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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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An intrusion detection system using machine learning algorithm

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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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Recent Advances in Intrusion Detection

, anomaly- and specification-based detection, and network intrusion detection. ;

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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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Brain Seizure Detection and Classification Using EEG Signals

Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high;

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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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Intrusion Detection with Artificial Neural Networks

of this book is to design, implement and evaluate an anomaly based network intrusion detection system. The System learns about the normal users;

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Recent Advances in Intrusion Detection

brought together leading researchers and practitioners from academia, government, and industry to discuss intrusion detection research and;

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Distributed Intrusion

All computer security breaches cannot be prevented using access control Mechanism and information flow control technique. These breaches;

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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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Unsupervised Learning Algorithms

detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective;

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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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Evaluation of Some Windows and Linux Intrusion Detection Tools

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Vapor Intrusion Simulations and Risk Assessments

This book introduces key concepts in modeling and risk assessments of vapor intrusion, a process by which the subsurface volatile;

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Managing Security with Snort and IDS Tools

using simple packet sniffers to more sophisticated IDS (Intrusion Detection Systems) applications and the GUI interfaces for managing them. A;

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Viable Network Intrusion Detection

reliably in such environments. In this work, we set out to understand the trade-offs involved in network intrusion detection, and we mitigate their;

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Configuration and Evaluation of Some Microsoft and Linux Proxy Servers, Intrusion Detection and AntiVirus Tools

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