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Redefining Security With Cyber AI

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Release : 2024-07-17
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Redefining Security With Cyber AI by : Omar, Marwan

Download or read book Redefining Security With Cyber AI written by Omar, Marwan. This book was released on 2024-07-17. Available in PDF, EPUB and Kindle. Book excerpt: In the rapidly evolving digital landscape, the importance of cybersecurity has never been more critical. With the increasing sophistication of cyber threats, traditional security measures often fall short in providing adequate protection. Cyber artificial intelligence (AI) offers advanced capabilities to detect, prevent, and respond to attacks in real time. As cyber threats continue to grow in complexity and frequency, the integration of AI into cybersecurity frameworks is not just advantageous but essential for maintaining robust and resilient defenses. Redefining Security With Cyber AI delves into the profound transformation of security paradigms brought about by the advent of AI. This book explores the intricate dance between the ever-expanding frontiers of digital technology and the AI-driven mechanisms that aim to safeguard them. Covering topics such as artificial neural networks, intrusion detection, and large language models, this book is an excellent resource for cybersecurity professionals, AI and machine learning researchers, IT executives and managers, policy makers and regulators, postgraduate students and educators, academicians, and more.

Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities

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Release : 2021-05-31
Genre : Technology & Engineering
Kind : eBook
Book Rating : 368/5 ( reviews)

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Book Synopsis Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities by : Sanjay Misra

Download or read book Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities written by Sanjay Misra. This book was released on 2021-05-31. Available in PDF, EPUB and Kindle. Book excerpt: This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.

Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning

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Release : 2024-08-22
Genre : Business & Economics
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning by : Goel, Pawan Kumar

Download or read book Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning written by Goel, Pawan Kumar. This book was released on 2024-08-22. Available in PDF, EPUB and Kindle. Book excerpt: In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.

Generative AI Security

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Release :
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Kind : eBook
Book Rating : 525/5 ( reviews)

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Book Synopsis Generative AI Security by : Ken Huang

Download or read book Generative AI Security written by Ken Huang. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Hands-On Artificial Intelligence for Cybersecurity

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Release : 2019-08-02
Genre : Computers
Kind : eBook
Book Rating : 171/5 ( reviews)

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Book Synopsis Hands-On Artificial Intelligence for Cybersecurity by : Alessandro Parisi

Download or read book Hands-On Artificial Intelligence for Cybersecurity written by Alessandro Parisi. This book was released on 2019-08-02. Available in PDF, EPUB and Kindle. Book excerpt: Build smart cybersecurity systems with the power of machine learning and deep learning to protect your corporate assets Key FeaturesIdentify and predict security threats using artificial intelligenceDevelop intelligent systems that can detect unusual and suspicious patterns and attacksLearn how to test the effectiveness of your AI cybersecurity algorithms and toolsBook Description Today's organizations spend billions of dollars globally on cybersecurity. Artificial intelligence has emerged as a great solution for building smarter and safer security systems that allow you to predict and detect suspicious network activity, such as phishing or unauthorized intrusions. This cybersecurity book presents and demonstrates popular and successful AI approaches and models that you can adapt to detect potential attacks and protect your corporate systems. You'll learn about the role of machine learning and neural networks, as well as deep learning in cybersecurity, and you'll also learn how you can infuse AI capabilities into building smart defensive mechanisms. As you advance, you'll be able to apply these strategies across a variety of applications, including spam filters, network intrusion detection, botnet detection, and secure authentication. By the end of this book, you'll be ready to develop intelligent systems that can detect unusual and suspicious patterns and attacks, thereby developing strong network security defenses using AI. What you will learnDetect email threats such as spamming and phishing using AICategorize APT, zero-days, and polymorphic malware samplesOvercome antivirus limits in threat detectionPredict network intrusions and detect anomalies with machine learningVerify the strength of biometric authentication procedures with deep learningEvaluate cybersecurity strategies and learn how you can improve themWho this book is for If you’re a cybersecurity professional or ethical hacker who wants to build intelligent systems using the power of machine learning and AI, you’ll find this book useful. Familiarity with cybersecurity concepts and knowledge of Python programming is essential to get the most out of this book.

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