Read Statistical Techniques for Network Security: Modern Statistically-based Intrusion Detection and Protection

Statistical Techniques for Network Security: Modern Statistically-based Intrusion Detection and Protection

Yun Wang

4.9/5 (13157 ratings)

Description:Intrusion detection and protection is a key component in the framework of the computer and network security area. Although various classification algorithms and approaches have been developed and proposed over the last decade, the statistically-based method remains the most common approach to anomaly intrusion detection. Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection bridges between applied statistical modeling techniques and network security to provide statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covering in-depth topics such as network traffic data, anomaly intrusion detection, and prediction events, this authoritative source collects must-read research for network administrators, information and network security professionals, statistics and computer science learners, and researchers in related fields.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Techniques for Network Security: Modern Statistically-based Intrusion Detection and Protection. To get started finding Statistical Techniques for Network Security: Modern Statistically-based Intrusion Detection and Protection, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 1599047101

Description: Intrusion detection and protection is a key component in the framework of the computer and network security area. Although various classification algorithms and approaches have been developed and proposed over the last decade, the statistically-based method remains the most common approach to anomaly intrusion detection. Statistical Techniques for Network Security: Modern Statistically-Based Intrusion Detection and Protection bridges between applied statistical modeling techniques and network security to provide statistical modeling and simulating approaches to address the needs for intrusion detection and protection. Covering in-depth topics such as network traffic data, anomaly intrusion detection, and prediction events, this authoritative source collects must-read research for network administrators, information and network security professionals, statistics and computer science learners, and researchers in related fields.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Statistical Techniques for Network Security: Modern Statistically-based Intrusion Detection and Protection. To get started finding Statistical Techniques for Network Security: Modern Statistically-based Intrusion Detection and Protection, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Statistical Techniques for Network Security: Modern Statistically-based Intrusion Detection and Protection

Statistical Techniques for Network Security: Modern Statistically-based Intrusion Detection and Protection

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