Khulna University of Engineering & Technology
Central Library

Data mining and machine learning in cybersecurity (Record no. 15713)

000 -LEADER
fixed length control field 02272nam a2200361Ia 4500
001 - CONTROL NUMBER
control field AUP0KE11810PDF
003 - CONTROL NUMBER IDENTIFIER
control field FlBoTFG
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20171224123754.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110525s2011 flua sb 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781439839430 (ebook : PDF)
040 ## - CATALOGING SOURCE
Original cataloging agency FlBoTFG
Transcribing agency FlBoTFG
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (OCLC)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA76.9.D343
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) D825 2011
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number 005.8
Item number D812
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Dua, Sumeet.
245 10 - TITLE STATEMENT
Title Data mining and machine learning in cybersecurity
Medium [electronic resource] /
Statement of responsibility, etc Sumeet Dua and Xian Du.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Boca Raton :
Name of publisher, distributor, etc Taylor & Francis,
Date of publication, distribution, etc 2011.
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 234 p. :
Other physical details ill.
500 ## - GENERAL NOTE
General note "An Auerbach book."
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 2. Classical machine-learning paradigms for data mining -- 3. Supervised learning for misuse/signature detection -- 4. Machine learning for anomaly detection -- 5. Machine learning for hybrid detection -- 6. Machine learning for scan detection -- 7. Machine learning for profiling network traffic -- 8. Privacy-preserving data mining -- 9. Emerging challenges in cybersecurity.
520 ## - SUMMARY, ETC.
Summary, etc "Introducing basic concepts of machine learning and data mining methodologies for cyber security, this book provides a unified reference for specific machine learning solutions and cybersecurity problems. The authors focus on how to apply machine learning methodologies in cybersecurity, categorizing methods for detecting, scanning, profiling, intrusions, and anomalies. The text presents challenges and solutions in machine learning along with cybersecurity fundamentals. It also describes advanced problems in cybersecurity in the machine learning domain and examines privacy-preserving data mining methods as a proactive security solution"--
-- Provided by publisher.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print edition.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer security.
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term lcsh
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Du, Xian.
776 1# - ADDITIONAL PHYSICAL FORM ENTRY
International Standard Book Number 9781439839423
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://marc.crcnetbase.com/isbn/9781439839430
Electronic format type application/PDF
Public note Distributed by publisher. Purchase or institutional license may be required for access.

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Khulna University of Engineering & Technology
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