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Machine Learning in Cyber Trust : Security, Privacy, and Reliability

Author: Philip S Yu; Jeffrey J P Tsai
Publisher: Boston, MA : Springer-Verlag US, 2009.
Series: SpringerLink: Springer e-Books
Edition/Format:   Computer file : English : Online-ausgView all editions and formats
Summary:

In cyber-based systems, tasks can be formulated as learning problems and approached as machine-learning algorithms. This book covers applications of machine-learning methods in reliability, security,  Read more...

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Material Type: Internet resource
Document Type: Computer File, Internet Resource
All Authors / Contributors: Philip S Yu; Jeffrey J P Tsai
ISBN: 9780387887357 0387887350 9780387887340 0387887342
OCLC Number: 609677228
Reproduction Notes: Online-Ausg. Berlin [u.a.] Springer, 2009. online-Ressource.
Description: S.
Contents: 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.
Series Title: SpringerLink: Springer e-Books
Responsibility: edited by Philip S. Yu, Jeffrey J.P. Tsai.

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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 Read more...

 
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