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. The book provides case studies of the use of these techniques and discusses expected future developments on privacy and cybersecurity.