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portada Deep Learning Applications for Cyber Security (in English)
Type
Physical Book
Publisher
Language
Inglés
Pages
246
Format
Hardcover
Dimensions
23.9 x 18.2 x 1.8 cm
Weight
0.54 kg.
ISBN13
9783030130565

Deep Learning Applications for Cyber Security (in English)

Alazab, Mamoun ; Tang, Mingjian (Author) · Springer · Hardcover

Deep Learning Applications for Cyber Security (in English) - Alazab, Mamoun ; Tang, Mingjian

Physical Book

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  • Condition: New
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Synopsis "Deep Learning Applications for Cyber Security (in English)"

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.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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