Author: Alessandro Parisi
Published date: August 2019
Publisher : Packt Publishing (August 2, 2019)
Language : English
Paperback : 342 pages
ISBN-10 : 1789804027
ISBN-13 : 978-1789804027
Item Weight : 1.32 pounds
Dimensions : 9.25 x 7.5 x 0.72 inches
In today's digital landscape, organizations face an ever-increasing threat from cyber attacks. With billions of dollars spent on cybersecurity globally, there is a growing need for more intelligent and adaptive security systems. "Hands-On Artificial Intelligence for Cybersecurity" explores how AI technologies such as machine learning, neural networks, and deep learning can be leveraged to create smarter defensive mechanisms against these threats.
This book serves as a practical guide for cybersecurity professionals looking to harness the power of AI in their security strategies. It presents popular and successful AI approaches that can be adapted to detect potential attacks and protect corporate systems. Readers will learn how to apply these techniques across various applications, including spam filters, network intrusion detection, botnet detection, and secure authentication.
Discover how AI can help identify and predict security threats
Learn to develop intelligent systems for detecting unusual and suspicious patterns
Gain insights into testing the effectiveness of AI-powered cybersecurity tools
By the end of this book, readers will be equipped with the knowledge and skills to:
Detect email threats like spamming and phishing using AI
Categorize advanced persistent threats (APT), zero-day vulnerabilities, and polymorphic malware
Overcome limitations of traditional antivirus software in threat detection
Predict network intrusions and anomalies using machine learning
Evaluate the strength of biometric authentication with deep learning
Assess and improve existing cybersecurity strategies
"Hands-On Artificial Intelligence for Cybersecurity" is designed for cybersecurity professionals and ethical hackers who want to build intelligent systems using AI and machine learning. A basic understanding of cybersecurity concepts and familiarity with Python programming is essential to get the most out of this book.
Alessandro Parisi, an IT professional with over 20 years of experience, is a seasoned security data scientist and expert in AI cybersecurity and blockchain technologies. He has helped numerous companies adopt AI and blockchain solutions to protect their sensitive assets. Parisi holds a Master's degree in Economics and Statistics, bringing a unique perspective to the field of cybersecurity.
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Author: Alessandro Parisi
Published date: August 2019
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"Hands-On Artificial Intelligence for Cybersecurity" empowers readers with practical knowledge to develop intelligent systems that detect threats and fortify network security using AI.
"Principles of Information Security" provides a comprehensive understanding of information security concepts, practices, and strategies essential for students and professionals in today's digital landscape.
"Cybersecurity For Dummies" provides readers with the knowledge and tools necessary to navigate the digital world safely and securely.
"Blue Team Handbook: SOC, SIEM, and Threat Hunting (V1.02)" equips readers with the knowledge and tools needed to build and optimize security operations, effectively manage SIEM systems, and adopt a proactive threat hunting approach.
"Hands-On Artificial Intelligence for Cybersecurity" empowers readers with practical knowledge to develop intelligent systems that detect threats and fortify network security using AI.
"Principles of Information Security" provides a comprehensive understanding of information security concepts, practices, and strategies essential for students and professionals in today's digital landscape.
"Cybersecurity For Dummies" provides readers with the knowledge and tools necessary to navigate the digital world safely and securely.
"Blue Team Handbook: SOC, SIEM, and Threat Hunting (V1.02)" equips readers with the knowledge and tools needed to build and optimize security operations, effectively manage SIEM systems, and adopt a proactive threat hunting approach.
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