Machine Learning in Cyber Trust (eBook)

Security, Privacy, and Reliability

Jeffrey J. P. Tsai, Philip S. Yu (Herausgeber)

eBook Download: PDF

2009 | 2009
XVI, 362 Seiten
Springer US (Verlag)
978-0-387-88735-7 (ISBN)

Infos

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.

Inhalt

Preface 6
Contents 9
Part I: Cyber System 15
1 Cyber-Physical Systems: A New Frontier 16
Part II: Security 27
2 Misleading Learners: Co-opting Your Spam Filter 28
3 Survey of Machine Learning Methods for Database Security 63
4 Identifying Threats Using Graph-based Anomaly Detection 82
5 On the Performance of Online Learning 118
6 Efficient Mining and Detection of Sequential Intrusion Patterns for Network Intrusion Detection Systems 142
7 A Non-Intrusive Approach to Enhance Legacy Embedded Control Systems with Cyber Protection Features 164
8 Image Encryption and Chaotic Cellular Neural Network 191
Part III: Privacy 222
9 From Data Privacy to Location Privacy 223
10 Privacy Preserving Nearest Neighbor Search 253
Part IV: Reliability 283
11 High-Confidence Compositional Reliability Assessment of SOA-Based Systems Using Machine Learning Techniques 284
12 Model, Properties, and Applications of Context-Aware Web Services 328
Index 364

Produkt-Details

• Erscheint lt. Verlag: 5.4.2009
• Zusatzinfo: XVI, 362 p. 100 illus.
• Verlagsort: New York
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Informatik ► Netzwerke ► Sicherheit / Firewall
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: classification • Control • cyber terrorism • Intrusion Detection • learning • Learning Algorithms • machine learning • Performance • privacy • Reliability • security • Spam • web security
• ISBN-10: 0-387-88735-0 / 0387887350
• ISBN-13: 978-0-387-88735-7 / 9780387887357