Deep Learning Applications for Cyber Security

• Corporate Author: SpringerLink (Online service)
• Other Authors: Alazab, Mamoun (Editor, http://id.loc.gov/vocabulary/relators/edt), Tang, MingJian (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Advanced Sciences and Technologies for Security Applications,
• Subjects: Big data.; Computer crimes.; Neural networks (Computer science) .; Computer security.; System safety.; Big Data.; Cybercrime.; Mathematical Models of Cognitive Processes and Neural Networks.; Systems and Data Security.; Security Science and Technology.

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 questio...