Machine learning in cyber trust:security, privacy, and reliability
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Group Author: | ; |
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Published: |
Springer,
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Publisher Address: | New York |
Publication Dates: | c2009. |
Literature type: | Book |
Language: | English |
Subjects: | |
Carrier Form: | xvi, 362 p.: ill. ; 25 cm. |
ISBN: |
9780387887340 (cased) 0387887342 (cased) 0387887350 (ebk.) 9780387887357 (ebk.) |
Index Number: | TP393 |
CLC: |
TP393.08 TP181 |
Call Number: | TP181/M149-3 |
Contents: |
Includes bibliographical references and index. Cyber-physical systems: a new frontier -- 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 -- From data privacy to location privacy -- Privacy preserving nearest neighbor search -- High-confidence compositional reliability assessment of SOA-based systems using machine learning techniques -- Model, properties, and applications of context-aware web services. |