Cybercrime remains a growing challenge in terms of security and privacy practices. Working
together deep learning and cyber security experts have recently made significant advances in
the fields of intrusion detection malicious code analysis and forensic identification. This
book addresses questions of how deep learning methods can be used to advance cyber security
objectives including detection modeling monitoring and analysis of as well as defense
against various threats to sensitive data and security systems. Filling an important gap
between deep learning and cyber security communities it discusses topics covering a wide range
of modern and practical deep learning techniques frameworks and development tools to enable
readers to engage with the cutting-edge research across various aspects of cyber security. The
book focuses on mature and proven techniques and provides ample examples to help readers grasp
the key points.
