MARC details
| 000 -LEADER |
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| fixed length control field |
04927nam a22004455i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
978-0-387-88735-7 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251006084429.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
100301s2009 xxu| s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780387887357 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
99780387887357 |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1007/978-0-387-88735-7 |
| Source of number or code |
doi |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Yu, Philip S. |
| Relator term |
editor. |
| 245 10 - TITLE STATEMENT |
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| Title |
Machine Learning in Cyber Trust |
| Medium |
[electronic resource] : |
| Remainder of title |
Security, Privacy, and Reliability / |
| Statement of responsibility, etc. |
edited by Philip S. Yu, Jeffrey J. P. Tsai. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boston, MA : |
| Name of producer, publisher, distributor, manufacturer |
Springer US, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2009. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
online resource. |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
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. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
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 turns out to be 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 security, privacy, and reliability 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 important area, and giving a classification of existing work. Specific features include the following: A survey of various approaches using machine learning/data mining techniques to enhance the traditional security mechanisms of databases A discussion of detection of SQL Injection attacks and anomaly detection for defending against insider threats An approach to detecting anomalies in a graph-based representation of the data collected during the monitoring of cyber and other infrastructures An empirical study of seven online-learning methods on the task of detecting malicious executables A novel network intrusion detection framework for mining and detecting sequential intrusion patterns A solution for extending the capabilities of existing systems while simultaneously maintaining the stability of the current systems An image encryption algorithm based on a chaotic cellular neural network to deal with information security and assurance An overview of data privacy research, examining the achievements, challenges and opportunities while pinpointing individual research efforts on the grand map of data privacy protection An algorithm based on secure multiparty computation primitives to compute the nearest neighbors of records in horizontally distributed data An approach for assessing the reliability of SOA-based systems using AI reasoning techniques The models, properties, and applications of context-aware Web services, including an ontology-based context model to enable formal description and acquisition of contextual information pertaining to service requestors and services 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
COMPUTER SCIENCE. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
DATA PROTECTION. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
DATA MINING. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
ARTIFICIAL INTELLIGENCE. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
COMPUTER SCIENCE. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
ARTIFICIAL INTELLIGENCE (INCL. ROBOTICS). |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
DATA MINING AND KNOWLEDGE DISCOVERY. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
SYSTEMS AND DATA SECURITY. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Tsai, Jeffrey J. P. |
| Relator term |
editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Printed edition: |
| International Standard Book Number |
9780387887340 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/978-0-387-88735-7">http://dx.doi.org/10.1007/978-0-387-88735-7</a> |
| Public note |
Ver el texto completo en las instalaciones del CICY |
| 912 ## - |
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| -- |
ZDB-2-SCS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Libros electrónicos |
