Applications of machine learning and deep learning for privacy and cybersecurity
Advances in information security, privacy, and ethics (AISPE) book series./ Victor Lobo, Anacleto Correia.

Correia Anacleto; Lobo Victor

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dc.contributor.author	Lobo Victor
dc.contributor.author	Correia Anacleto
dc.date.accessioned	2024-01-29T22:29:00Z
dc.date.available	2024-01-29T22:29:00Z
dc.date.issued	2022
dc.identifier.citation	Applications of machine learning and deep learning for privacy and cybersecurity Advances in information security, privacy, and ethics (AISPE) book series. - 1 online resource (xxi, 271 pages) : - URL: https://libweb.kpfu.ru/ebsco/pdf/3380199.pdf
dc.identifier.isbn	9781799894322
dc.identifier.isbn	1799894320
dc.identifier.isbn	9781799894339
dc.identifier.isbn	1799894339
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/180766
dc.description	Includes bibliographical references and index.
dc.description.abstract	"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"--
dc.description.tableofcontents	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.
dc.language	English
dc.language.iso	en
dc.relation.ispartofseries	Advances in information security, privacy, and ethics (AISPE) book series
dc.relation.ispartofseries	Advances in information security, privacy, and ethics (AISPE) book series.
dc.subject.other	Computer networks -- Security measures -- Data processing.
dc.subject.other	Computer security.
dc.subject.other	Deep learning (Machine learning)
dc.subject.other	Computer security.
dc.subject.other	Deep learning (Machine learning)
dc.subject.other	Electronic books.
dc.title	Applications of machine learning and deep learning for privacy and cybersecurity Advances in information security, privacy, and ethics (AISPE) book series./ Victor Lobo, Anacleto Correia.
dc.type	Book
dc.description.pages	1 online resource (xxi, 271 pages) :
dc.collection	Электронно-библиотечные системы
dc.source.id	EN05CEBSCO05C203028