Practical Ai for Cybersecurity

The goal of this book is to explore the ways and methods as to how AI can be used in cybersecurity, with an emphasis upon its subcomponents of machine learning, computer vision, and neural networks. It also explores how AI can be used to automate tasks encountered by both penetration testing and threat hunting teams.

List of contents

Chapter 1. Artificial Intelligence. Chapter 2. Machine Learning. Chapter 3. The high Level Overview into Neural Networks. Chapter 4. Typical Applications for Computer Vision. Chapter 5. Conclusion.

About the author

Ravi Das is a Business Development Specialist for BN.Net¿ Cybersecurity, a leading Cybersecurity communications and journalism firm based in the Greater Chicago area. He holds an M.S. in Agribusiness Economics with a specialization in Exchange Rate Risk Theory, and an M.B.A in Management Information Systems. He has published four books, which include ¿Biometric Technology: Authentication, Biocrpytography, and Cloud-based Architecture¿ (CRC Press); ¿Adopting Biometric Technology: Challenges and Solutions¿ (CRC Press); ¿The Science of Biometrics: Security Technology for Identity Verification¿ (Routledge); ¿Protecting Information Assets and IT Infrastructure In The Cloud¿ (CRC Press) and ¿Testing and Securing Web Applications¿.

Product details

• Authors: Ravi Das, Das Ravi
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 26.02.2021
• EAN: 9780367708597
• ISBN: 978-0-367-70859-7
• No. of pages: 274
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks; TECHNOLOGY & ENGINEERING / Electronics / General, COMPUTERS / Security / General, Computer security, Electronics engineering, Databases, COMPUTERS / Database Administration & Management