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Machine Learning in Cyber Trust

Machine Learning in Cyber Trust 
Author(s)  

Publisher  Springer
Publication year  2009
Language  en
Edition  1
Imprint  Springer US - Boston, MA
Category  Computer Science
Price  120,20 €

     ISBN 9780387887357
 
 
DRM Restrictions
Printing  Not allowed
Copy to clipboard  Not allowed
Table of contents

2. Cyber-Physical Systems: A New Frontier
Lui Sha, Sathish Gopalakrishnan, Xue Liu, Qixin Wang

3. Misleading Learners: Co-opting Your Spam Filter
Blaine Nelson, Marco Barreno, Fuching Jack Chi, Anthony D. Joseph, Benjamin I. P. Rubinstein, Udam Saini, Charles Sutton, J. D. Tygar, Kai Xia

4. Survey of Machine Learning Methods for Database Security
Ashish Kamra, Elisa Ber

5. Identifying Threats Using Graph-based Anomaly Detection
William Eberle, Lawrence Holder, Diane Cook

6. On the Performance of Online Learning Methods for Detecting Malicious Executables
Marcus A. Maloof

7. Efficient Mining and Detection of Sequential Intrusion Patterns for Network Intrusion Detection Systems
Mei-Ling Shyu, Zifang Huang, Hongli Luo

8. A Non-Intrusive Approach to Enhance Legacy Embedded Control Systems with Cyber Protection Features
Shangping Ren, Nianen Chen, Yue Yu, Pierre Poirot, Kevin Kwiat, Jeffrey J.P. Tsai

9. Image Encryption and Chaotic Cellular Neural Network
Jun Peng, Du Zhang

10. From Data Privacy to Location Privacy
Ting Wang, Ling Liu

11. Privacy Preserving Nearest Neighbor Search
Mark Shaneck, Yongdae Kim, Vipin Kumar

12. High-Confidence Compositional Reliability Assessment of SOA-Based Systems Using Machine Learning Techniques
Venkata U. B. Challagulla, Farokh B. Bastani, I-Ling Yen

13. Model, Properties, and Applications of Context-Aware Web Services
Stephen J. H. Yang, Jia Zhang, Angus F. M. Huang

 
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