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Applications of machine learning and deep learning for privacy and cybersecurity

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applications of machine learning and deep learning for privacy and cybersecurity/ Victor Lobo and Anacleto Correia, editors.
other author:	Lobo, Victor,
Published:	Hershey, Pennsylvania :IGI Global, : 2022.,
Description:	1 online resource (271 p.)
[NT 15003449]:	Chapter 1. User profiling using keystroke dynamics and rotation forest -- Chapter 2. Predictive modelling for financial fraud detection using data analytics: a gradient-boosting decision tree -- Chapter 3. Comprehensive overview of autonomous vehicles and their security against DDoS attacks -- Chapter 4. Application of machine learning to user behavior-based authentication in smartphone and web -- Chapter 5. The role of deception in securing our cyberspace: honeypots are a viable option -- Chapter 6. Holistic view on detecting DDoS attacks using machine learning -- Chapter 7. Masked transient effect ring oscillator physical unclonable function against machine learning attacks -- Chapter 8. Detecting bank financial fraud in South Africa using a logistic model tree -- Chapter 9. Innovative legitimate non-traditional doctorate programs in cybersecurity, engineering, and technology -- Chapter 10. Privacy preservation of image data with machine learning.
Subject:	Computer security. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9430-8
ISBN:	9781799894322 (electronic bk.)

Applications of machine learning and deep learning for privacy and cybersecurity
Applications of machine learning and deep learning for privacy and cybersecurity[electronic resource] /Victor Lobo and Anacleto Correia, editors. - Hershey, Pennsylvania :IGI Global,2022. - 1 online resource (271 p.)

Includes bibliographical references and index.

Chapter 1. User profiling using keystroke dynamics and rotation forest -- Chapter 2. Predictive modelling for financial fraud detection using data analytics: a gradient-boosting decision tree -- Chapter 3. Comprehensive overview of autonomous vehicles and their security against DDoS attacks -- Chapter 4. Application of machine learning to user behavior-based authentication in smartphone and web -- Chapter 5. The role of deception in securing our cyberspace: honeypots are a viable option -- Chapter 6. Holistic view on detecting DDoS attacks using machine learning -- Chapter 7. Masked transient effect ring oscillator physical unclonable function against machine learning attacks -- Chapter 8. Detecting bank financial fraud in South Africa using a logistic model tree -- Chapter 9. Innovative legitimate non-traditional doctorate programs in cybersecurity, engineering, and technology -- Chapter 10. Privacy preservation of image data with machine learning.

"This comprehensive and timely book provides an overview of the field of Machine and Deep Learning in the areas of cybersecurity and privacy, followed by an in-depth view of emerging research exploring the theoretical aspects of machine and deep learning, as well as real-world implementations"--

ISBN: 9781799894322 (electronic bk.)Subjects--Topical Terms:

540555
Computer security.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TK5105.59 / .A67 2022eb

Dewey Class. No.: 005.8

Applications of machine learning and deep learning for privacy and cybersecurity
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020 $a 9781799894322 (electronic bk.)
020 $a 9781799894308
020 $a 1799894304
035 $a (CaBNVSL)slc00003375
035 $a (OCoLC)1287926329
035 $a 00277792
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
041 0 $a eng
050 4 $a TK5105.59 $b .A67 2022eb
082 0 4 $a 005.8 $2 23
245 0 0 $a Applications of machine learning and deep learning for privacy and cybersecurity $h [electronic resource] / $c Victor Lobo and Anacleto Correia, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c 2022.
300 $a 1 online resource (271 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. User profiling using keystroke dynamics and rotation forest -- Chapter 2. Predictive modelling for financial fraud detection using data analytics: a gradient-boosting decision tree -- Chapter 3. Comprehensive overview of autonomous vehicles and their security against DDoS attacks -- Chapter 4. Application of machine learning to user behavior-based authentication in smartphone and web -- Chapter 5. The role of deception in securing our cyberspace: honeypots are a viable option -- Chapter 6. Holistic view on detecting DDoS attacks using machine learning -- Chapter 7. Masked transient effect ring oscillator physical unclonable function against machine learning attacks -- Chapter 8. Detecting bank financial fraud in South Africa using a logistic model tree -- Chapter 9. Innovative legitimate non-traditional doctorate programs in cybersecurity, engineering, and technology -- Chapter 10. Privacy preservation of image data with machine learning.
520 $a "This comprehensive and timely book provides an overview of the field of Machine and Deep Learning in the areas of cybersecurity and privacy, followed by an in-depth view of emerging research exploring the theoretical aspects of machine and deep learning, as well as real-world implementations"-- $c Provided by publisher.
650 0 $a Computer security. $3 540555
650 0 $a Deep learning (Machine learning). $3 3675581
650 0 $a Machine learning. $3 533906
650 0 $a Data mining. $3 562972
650 0 $a Data protection. $3 590548
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Lobo, Victor, $d 1965-. $3 3675579
700 1 $a Correia, Anacleto, $d 1961-. $3 3675580
710 2 $a IGI Global. $3 1361470
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-9430-8