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Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions

2024-11-22 Computers
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Release : 2024-11-22
Genre : Computers
Kind : eBook
Book Rating : 060/5 ( reviews)

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Book Synopsis Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions by : Pethuru Raj

Download or read book Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions written by Pethuru Raj. This book was released on 2024-11-22. Available in PDF, EPUB and Kindle. Book excerpt: Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them. With chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including big data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, machine learning approaches, deep learning, blockchain technology, convolutional neural networks, and more. Some unique features of this book include: Detailed overview of various security analytics techniques and tools Comprehensive descriptions of the emerging and evolving aspects of artificial intelligence (AI) technologies Industry case studies for practical comprehension and application This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks. The volume will be a valuable resource for research students, scholars, academic professors, business executives, security architects, and consultants in the IT industry.

Next-Generation Cybersecurity

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Kind : eBook
Book Rating : 491/5 ( reviews)

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Book Synopsis Next-Generation Cybersecurity by : Keshav Kaushik

Download or read book Next-Generation Cybersecurity written by Keshav Kaushik. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

AI Defenders

2024-08-02 Computers
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Release : 2024-08-02
Genre : Computers
Kind : eBook
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Book Synopsis AI Defenders by : Clinton K Clifford

Download or read book AI Defenders written by Clinton K Clifford. This book was released on 2024-08-02. Available in PDF, EPUB and Kindle. Book excerpt: AI Defenders: Revolutionizing Cybersecurity Leveraging Artificial Intelligence to Protect Against Advanced Cyber Threats In an era where cyber threats are evolving at an unprecedented pace, traditional security measures are no longer sufficient to safeguard our digital world. Enter Artificial Intelligence (AI) - a transformative force that is reshaping the landscape of cybersecurity. In "AI Defenders: Revolutionizing Cybersecurity," Clinton K. Clifford, a seasoned cybersecurity expert, takes you on a comprehensive journey through the cutting-edge integration of AI in defending against cyber threats. This book dives deep into the dynamic realm of AI-powered cybersecurity, offering a detailed exploration of how AI is being utilized to detect, prevent, and respond to sophisticated cyber attacks. From the fundamentals of AI and machine learning to the latest advancements in threat detection and automated response systems, this book provides invaluable insights for both beginners and seasoned professionals. Key Features: Historical Context: Understand the evolution of cyber threats and how they have shaped the need for advanced security solutions. AI Fundamentals: Gain a solid foundation in AI and machine learning principles and their application in cybersecurity. Real-World Case Studies: Learn from real-world examples of AI in action, including success stories and lessons learned from significant cyber incidents. Fraud Detection and Prevention: Explore the critical role of AI in detecting and preventing fraud in financial sectors and e-commerce. Ethical Considerations: Address the challenges and ethical dilemmas associated with AI in cybersecurity, including bias, privacy, and accountability. Future Trends: Discover emerging AI technologies and predictions for the future of cybersecurity. Clinton K. Clifford, with over two decades of experience and a strong academic background from Stanford and MIT, brings his expertise and insights to this must-read book. Whether you're a cybersecurity professional, a tech enthusiast, or simply curious about the future of digital security, "AI Defenders: Revolutionizing Cybersecurity" offers a thorough and engaging look at how AI is changing the game. Prepare to embark on a journey through the frontier of cybersecurity, where AI not only defends but revolutionizes how we protect our digital future.

Cyber Security Meets Machine Learning

2021-07-02 Computers
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Release : 2021-07-02
Genre : Computers
Kind : eBook
Book Rating : 261/5 ( reviews)

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Book Synopsis Cyber Security Meets Machine Learning by : Xiaofeng Chen

Download or read book Cyber Security Meets Machine Learning written by Xiaofeng Chen. This book was released on 2021-07-02. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations.

AI-Driven Cybersecurity andThreat Intelligence

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Book Rating : 978/5 ( reviews)

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Book Synopsis AI-Driven Cybersecurity andThreat Intelligence by : Iqbal H. Sarker

Download or read book AI-Driven Cybersecurity andThreat Intelligence written by Iqbal H. Sarker. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

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