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Machine Learning in Cyber Trust : Security, Privacy, and Reliability by Philip S. Yu (2010, Trade Paperback)

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Machine Learning in Cyber Trust by Jeffrey J.P. Tsai, Philip S. Yu. Title Machine Learning in Cyber Trust. Author Jeffrey J.P. Tsai, Philip S. Yu. Format Paperback.

About this product

Product Information

Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems is a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms. This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the reliability, security, performance, and privacy issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state-of-the-practice in this significant area, and giving a classification of existing work. Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.

Product Identifiers

Publisher
Springer
ISBN-10
1441946985
ISBN-13
9781441946980
eBay Product ID (ePID)
109239996

Product Key Features

Author
Philip S. Yu
Publication Name
Machine Learning in Cyber Trust : Security, Privacy, and Reliability
Format
Trade Paperback
Language
English
Publication Year
2010
Type
Textbook
Number of Pages
Xvi, 362 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
20.5 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Qa76.9.A25
Reviews
From the reviews:"This is a useful book on machine learning for cyber security applications. It will be helpful to researchers and graduate students who are looking for an introduction to a specific topic in the field. All of the topics covered are well researched. The book consists of 12 chapters, grouped into four parts." (Imad H. Elhajj, ACM Computing Reviews, October, 2009), From the reviews: "This is a useful book on machine learning for cyber security applications. It will be helpful to researchers and graduate students who are looking for an introduction to a specific topic in the field. All of the topics covered are well researched. The book consists of 12 chapters, grouped into four parts." (Imad H. Elhajj, ACM Computing Reviews, October, 2009)
Table of Content
Cyber System.- Cyber-Physical Systems: A New Frontier.- Security.- Misleading Learners: Co-opting Your Spam Filter.- Survey of Machine Learning Methods for Database Security.- Identifying Threats Using Graph-based Anomaly Detection.- On the Performance of Online Learning Methods for Detecting Malicious Executables.- Efficient Mining and Detection of Sequential Intrusion Patterns for Network Intrusion Detection Systems.- A Non-Intrusive Approach to Enhance Legacy Embedded Control Systems with Cyber Protection Features.- Image Encryption and Chaotic Cellular Neural Network.- Privacy.- From Data Privacy to Location Privacy.- Privacy Preserving Nearest Neighbor Search.- Reliability.- High-Confidence Compositional Reliability Assessment of SOA-Based Systems Using Machine Learning Techniques.- Model, Properties, and Applications of Context-Aware Web Services.
Copyright Date
2009
Topic
Terrorism, Probability & Statistics / General, Security / General, Databases / Data Mining
Dewey Decimal
006.31
Intended Audience
Scholarly & Professional
Dewey Edition
22
Illustrated
Yes
Genre
Computers, Mathematics, Political Science

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Picture 1 of 1

Machine Learning in Cyber Trust : Security, Privacy, and Reliability by Philip S. Yu (2010, Trade Paperback)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

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