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Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity (Hardcover)
Loot Price: R6,689
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Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity (Hardcover)
Expected to ship within 10 - 15 working days
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The growth of innovative cyber threats, many based on
metamorphosing techniques, has led to security breaches and the
exposure of critical information in sites that were thought to be
impenetrable. The consequences of these hacking actions were,
inevitably, privacy violation, data corruption, or information
leaking. Machine learning and data mining techniques have
significant applications in the domains of privacy protection and
cybersecurity, including intrusion detection, authentication, and
website defacement detection, that can help to combat these
breaches. Applications of Machine Learning and Deep Learning for
Privacy and Cybersecurity provides machine and deep learning
methods for analysis and characterization of events regarding
privacy and anomaly detection as well as for establishing
predictive models for cyber attacks or privacy violations. It
provides case studies of the use of these techniques and discusses
the expected future developments on privacy and cybersecurity
applications. Covering topics such as behavior-based
authentication, machine learning attacks, and privacy preservation,
this book is a crucial resource for IT specialists, computer
engineers, industry professionals, privacy specialists, security
professionals, consultants, researchers, academicians, and students
and educators of higher education.
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