Buch, Englisch, 300 Seiten, Hardback, Format (B × H): 183 mm x 260 mm, Gewicht: 763 g
Buch, Englisch, 300 Seiten, Hardback, Format (B × H): 183 mm x 260 mm, Gewicht: 763 g
ISBN: 978-1-7998-9430-8
Verlag: IGI Global
The growth of innovative cyber threats has led to security breaches and the exposure of critical information in sites that appeared to be impenetrable. The consequences of these hacking actions are privacy violations, data corruption, or information leaking. Machine learning, in particular deep learning, and data mining techniques have significant applications in the domains of privacy protection and cybersecurity. The book 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 also provides case studies of the use of these techniques. Expected future developments on privacy and cybersecurity applications are also discussed including research topics, such as the potential consequences of quantum computing.
This book is designed for IT specialists, computer engineers, researchers, industry professionals, privacy specialists, security professionals, consultants, researchers, academics, and students interested in the impact of machine and deep learning in privacy and cybersecurity and the methodologies that can help improve the effectiveness of applications related to those aspects. It provides an in-depth view of emerging research exploring the theoretical aspects of machine and deep learning, as well as real-world implementations, applied to the privacy and cybersecurity domains. This book disseminates the latest advances regarding privacy and cybersecurity fueled by machine and deep learning techniques.
