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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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Implementing Intrusion Detection Systems

, intrusion signatures, log analysis, and incident handling. It provides step-by-step instructions for configuration procedures.;

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Intrusion Signatures and Analysis

Intrusion Detection is a red-hot topic in today's technology and security field. You hear daily stories of networks compromised or rendered;

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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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Intrusion Detection

of analysis, and the options for responses to detected problems, data sources commonly used in intrusion detection and how they influence the;

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Automatic Defense Against Zero-day Polymorphic Worms in Communication Networks

intrusion detection systems (IDS). And, because zero-day worms require only seconds to launch flooding attacks on your servers, using traditional;

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Automatic Defense Against Zero-day Polymorphic Worms in Communication Networks

intrusion detection systems (IDS). And, because zero-day worms require only seconds to launch flooding attacks on your servers, using traditional;

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Network Security: Issues, Challenges and Techniques

logic for checking anomalies in filtering rules as model checking in PSPACE, automated intrusion signatures generation technique, use of sensor;

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State Of The Art In Intrusion Prevention

by examining traffic analysis and management for intrusion detection systems. It explores honeypots, honeynets, network traffic analysis, and;

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Detecting and modeling polymorphic shellcode

making them unique from one instance to another and hard to detect. We propose a new concept of signatures, shape signatures, which cope with the;

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The State of the Art in Intrusion Prevention and Detection

by examining traffic analysis and management for intrusion detection systems. It explores honeypots, honeynets, network traffic analysis, and;

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Practical Intrusion Analysis

Practical Intrusion Analysis provides a solid fundamental overview of the art and science of intrusion analysis. -Nate Miller;

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Recent Advances in Intrusion Detection

papers are organized in topical sections on anomaly detection, attacks, system evaluation and threat assessment, malware collection and analysis;

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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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Seismic Signatures and Analysis of Reflection Data in Anisotropic Media

developing practical methodologies for estimating them from seismic data, Seismic Signatures and Analysis of Reflection Data in Anisotropic Media;

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Analysis of Sedimentary Successions

; and tectonic signatures in the basin fill.;

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Dynamic Multi Layer Signature based IDS System using Mobile Agents

efficient signature databases at different layers, and with each layer compromising of few signatures, and at the same time, provides mechanisms to;

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Epigenetic Mechanisms in Cancer

Epigenetic Mechanisms in Cancer provides a comprehensive analysis of epigenetic signatures that govern disease development, progression and;

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Metrics for Intrusion Detection in Wireless Sensor Networks

in their resources and dynamically maintain the network structure by themselves. Therefore, they are vulnerable to many intrusions or network;

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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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Distributed Data Mining and Mining Multi-Agent Data

data mining. In a growing number of domains intrusion detection In my project the Intrusion Detection and Reporting system developed to detect;

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Game Strategy

profile. The system is improved by modifications to the similarity measure functions and different ways of representing behavioral signatures. The;

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The Practical Intrusion Detection Handbook

only intrusion detection book to present practical advice for the entire lifecycle: choosing products, planning, deployment, operations, and;

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Computational Genomic Signatures

introduces the general concept of computational genomic signatures, and it reviews some of the DNA sequence models which can be used as computational;

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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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Physical Measurements & Signatures in Remote Sensing

Topics covered in this text include: analysis of the relationships between specific properties of a target and its spectral characteristics;

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Advances in Security Information Management

responding to attacks. However, the classic management-related flaws still persist, e.g. the analysis of large amounts of reported intrusion alerts;

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