MARC details
000 -LEADER |
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04232nam a22005055i 4500 |
001 - CONTROL NUMBER |
control field |
978-1-84628-253-9 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20170628033847.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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100301s2006 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781846282539 |
-- |
978-1-84628-253-9 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/1-84628-253-5 |
Source of number or code |
doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA75.5-76.95 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UMA |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM014000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM018000 |
Source |
bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Maloof, Marcus A. |
Relator term |
editor. |
245 10 - TITLE STATEMENT |
Title |
Machine Learning and Data Mining for Computer Security |
Medium |
[electronic resource] : |
Remainder of title |
Methods and Applications / |
Statement of responsibility, etc |
edited by Marcus A. Maloof. |
264 #1 - |
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London : |
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Springer London, |
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2006. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XVI, 210 p. |
Other physical details |
online resource. |
336 ## - |
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text |
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txt |
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rdacontent |
337 ## - |
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computer |
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c |
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rdamedia |
338 ## - |
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online resource |
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cr |
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rdacarrier |
347 ## - |
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text file |
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PDF |
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rda |
490 1# - SERIES STATEMENT |
Series statement |
Advanced Information and Knowledge Processing |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Survey Contributions -- An Introduction to Information Assurance -- Some Basic Concept of Machine Learning and Data Mining -- Research Contributions -- Learning to Detect Malicious Executables -- Data Mining Applied to Intrusion Detection: MITRE Experiences -- Intrusion Detection Alarm Clustering -- Behavioral Features for Network Anomaly Detection -- Cost-Sensitive Modeling for Intrusion Detection -- Data Cleaning and Enriched Representations for Anomaly Detection in System Calls -- A Decision-Theoritic, Semi-Supervised Model for Intrusion Detection. |
520 ## - SUMMARY, ETC. |
Summary, etc |
The Internet began as a private network connecting government, military, and academic researchers. As such, there was little need for secure protocols, encrypted packets, and hardened servers. When the creation of the World Wide Web unexpectedly ushered in the age of the commercial Internet, the network's size and subsequent rapid expansion made it impossible retroactively to apply secure mechanisms. The Internet's architects never coined terms such as spam, phishing, zombies, and spyware, but they are terms and phenomena we now encounter constantly. Programming detectors for such threats has proven difficult. Put simply, there is too much information---too many protocols, too many layers, too many applications, and too many uses of these applications---for anyone to make sufficient sense of it all. Ironically, given this wealth of information, there is also too little information about what is important for detecting attacks. Methods of machine learning and data mining can help build better detectors from massive amounts of complex data. Such methods can also help discover the information required to build more secure systems. For some problems in computer security, one can directly apply machine learning and data mining techniques. Other problems, both current and future, require new approaches, methods, and algorithms. This book presents research conducted in academia and industry on methods and applications of machine learning and data mining for problems in computer security and will be of interest to researchers and practitioners, as well students. ‘Dr. Maloof not only did a masterful job of focusing the book on a critical area that was in dire need of research, but he also strategically picked papers that complemented each other in a productive manner. … This book is a must read for anyone interested in how research can improve computer security.’ Dr Eric Cole, Computer Security Expert |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer science. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Electronic data processing. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial intelligence. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computing Methodologies. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Artificial Intelligence (incl. Robotics). |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information Systems and Communication Service. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information Systems Applications (incl.Internet). |
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 |
Display text |
Printed edition: |
International Standard Book Number |
9781846280290 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Advanced Information and Knowledge Processing |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/1-84628-253-5">http://dx.doi.org/10.1007/1-84628-253-5</a> |
912 ## - |
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ZDB-2-SCS |