1# Library to Find Best eBook for Read
Author : Noor Zaman Jhanjhi
Release : 2024-09-13
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Reshaping CyberSecurity With Generative AI Techniques by : Noor Zaman Jhanjhi
Download or read book Reshaping CyberSecurity With Generative AI Techniques written by Noor Zaman Jhanjhi. This book was released on 2024-09-13. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jhanjhi, Noor Zaman
Release : 2024-09-13
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Reshaping CyberSecurity With Generative AI Techniques by : Jhanjhi, Noor Zaman
Download or read book Reshaping CyberSecurity With Generative AI Techniques written by Jhanjhi, Noor Zaman. This book was released on 2024-09-13. Available in PDF, EPUB and Kindle. Book excerpt: The constantly changing digital environment of today makes cybersecurity an ever-increasing concern. With every technological advancement, cyber threats become more sophisticated and easily exploit system vulnerabilities. This unending attack barrage exposes organizations to data breaches, financial losses, and reputational harm. The traditional defense mechanisms, once dependable, now require additional support to keep up with the dynamic nature of modern attacks. Reshaping CyberSecurity With Generative AI Techniques offers a transformative solution to the pressing cybersecurity dilemma by harnessing the power of cutting-edge generative AI technologies. Bridging the gap between artificial intelligence and cybersecurity presents a paradigm shift in defense strategies, empowering organizations to safeguard their digital assets proactively. Through a comprehensive exploration of generative AI techniques, readers gain invaluable insights into how these technologies can be leveraged to mitigate cyber threats, enhance defense capabilities, and reshape the cybersecurity paradigm.
Author : Ken Huang
Release :
Genre :
Kind : eBook
Book Rating : 525/5 ( reviews)
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:
Author : Jhanjhi, Noor Zaman
Release : 2024-09-27
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis AI Techniques for Securing Medical and Business Practices by : Jhanjhi, Noor Zaman
Download or read book AI Techniques for Securing Medical and Business Practices written by Jhanjhi, Noor Zaman. This book was released on 2024-09-27. Available in PDF, EPUB and Kindle. Book excerpt: In the past several years, artificial intelligence (AI) has upended and transformed the private and public sectors. AI techniques have shown significant promise in securing sensitive data and ensuring compliance with regulatory standards. In medical practices, AI can enhance patient confidentiality through advanced encryption methods. Similarly, in business environments, AI-driven security protocols can protect against cyber threats and unauthorized access, safeguarding both intellectual property and customer information. By leveraging AI for these purposes, organizations can not only enhance their operational efficiency but also build trust and credibility with their stakeholders. AI Techniques for Securing Medical and Business Practices provides real-world case studies and cutting-edge research to demonstrate how AI is enhancing threat detection and risk management in cybersecurity. Beyond cybersecurity, this book explores the broader applications of AI in fields such as healthcare, finance, and creative industries. It examines innovations in medical imaging, financial modeling, and content creation, while addressing critical ethical issues like data privacy and algorithmic bias. Aimed at researchers, postgraduate scholars, industry professionals, and the general public, it provides a thorough understanding of AI's transformative potential and its implications for various sectors.
Author : Anand Vemula
Release : 2024-06
Genre : Computers
Kind : eBook
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Book Synopsis Implementing Generative AI in Cybersecurity by : Anand Vemula
Download or read book Implementing Generative AI in Cybersecurity written by Anand Vemula. This book was released on 2024-06. Available in PDF, EPUB and Kindle. Book excerpt: In an era where cyber threats are becoming increasingly sophisticated, "Implementing Generative AI in Cybersecurity: Techniques, Tools, and Case Studies" serves as a comprehensive guide for professionals and enthusiasts looking to leverage the power of generative AI to bolster their cybersecurity defenses. This book delves into the intersection of two rapidly evolving fields-artificial intelligence and cybersecurity-providing readers with the knowledge and tools necessary to stay ahead of cyber adversaries. The book begins with an introduction to generative AI and its pivotal role in transforming cybersecurity. It covers the basics of generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), explaining their mechanics and applications in creating synthetic data, enhancing training datasets, and anonymizing sensitive information. Moving into practical applications, the book explores how generative AI can be used for data augmentation and synthesis to improve the accuracy and robustness of machine learning models used in threat detection and incident response. Readers will learn about the latest techniques for detecting and defending against adversarial attacks, ensuring their AI systems remain resilient against sophisticated manipulations. A significant portion of the book is dedicated to real-world case studies, demonstrating how leading organizations in various sectors-finance, healthcare, and government-have successfully implemented generative AI solutions to enhance their cybersecurity posture. These case studies provide valuable insights into the practical challenges and strategies for integrating AI technologies into existing security frameworks. Deepfake detection and prevention, a crucial aspect of modern cybersecurity, is also covered in depth. The book outlines state-of-the-art detection techniques and countermeasures to combat the rising threat of synthetic media used for malicious purposes. The use of natural language processing (NLP) in security is another focal point, highlighting its applications in phishing detection, secure communication analysis, and threat intelligence. Ethical considerations, privacy concerns, and the regulatory landscape are discussed to provide a holistic view of the challenges and responsibilities involved in deploying AI-driven cybersecurity solutions. "Implementing Generative AI in Cybersecurity: Techniques, Tools, and Case Studies" is an essential resource for cybersecurity professionals, AI practitioners, and anyone interested in the future of digital security, offering practical guidance and actionable insights to navigate the complexities of integrating generative AI into cybersecurity strategies.
