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This book is the definitive guide on the OSSEC Host-based Intrusion Detection system and frankly, to really use OSSEC you are going to need;
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intrusion detection, including host-based, network-based, and hybrid solutions; then offers practical selection criteria; and reviews the key;
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detection and prevention. It discusses tracing back mobile attackers, secure routing with intrusion prevention, anomaly detection, and AI-based;
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detection and prevention. It discusses tracing back mobile attackers, secure routing with intrusion prevention, anomaly detection, and AI-based;
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, anomaly- and specification-based detection, and network intrusion detection. ;
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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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of distributed detection. - We describe a working, yet demonstrative implementation of the system based on the Snort intrusion detection engine - We;
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intrusion detection network (IDN). Using overlay networks that allow an intrusion detection system (IDS) to exchange information, IDNs can;
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This thesis presents the case of dynamically and adaptively learning signatures for network intrusion detection using genetic based machine;
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, network intrusion detection has become increasingly important. Anomaly-based network intrusion detection refers to finding exceptional or;
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, Cofounder, Stratum Security The Only Definitive Guide to New State-of-the-Art Techniques in Intrusion Detection and Prevention;
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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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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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dragonfly key exchange protocol, intrusion detection & prevention system based on artificial neural network, and detection of sophisticated network;
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Written to be both a training aid and a technical reference for intrusion detection analysts, Northcutt's book contains unparalleled;
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Configuring an Intrusion Detection System (IDS) is very challenging, and if improperly configured, an IDS is rendered ineffective. Packed;
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Network intrusion detection systems (NIDS) continuously monitor network traffic for malicious activity, raising alerts when detecting;
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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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Detecting Deception offers a state-of-the-art guide to the detection of deception with a focus on the ways in which new cognitive;
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Recent research has shown that machine learning based Intrusion Detection Systems (IDSs) can be used to detect link layer attacks in 802.11;
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, covering every stage of the process: planning, implementation, maintenance, intrusion detection, response, recovery, and beyond. Reflecting CERT's;
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