國立虎尾科技大學 |

Reshaping cybersecurity with generative AI techniques

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Reshaping cybersecurity with generative AI techniques/ Noor Zaman Jhanjhi.
其他題名:	Reshaping cybersecurity with generative artificial intelligencee techniques
作者:	Jhanjhi, Noor Zaman.
出版者:	Hershey, Pennsylvania :IGI Global, : 2025.,
面頁冊數:	1 online resource (xxvii, 636 p.) :ill. :
標題:	Computer security. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-5415-5
ISBN:	9798369354179

Reshaping cybersecurity with generative AI techniques
Jhanjhi, Noor Zaman.

Reshaping cybersecurity with generative AI techniques[electronic resource] /Reshaping cybersecurity with generative artificial intelligencee techniquesNoor Zaman Jhanjhi. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxvii, 636 p.) :ill. - Advances in information security, privacy, and ethics (AISPE) book series. - Advances in information security, privacy, and ethics (AISPE) book series..

Includes bibliographical references and index.

Preface -- Chapter 1. Overview of Generative AI Techniques for Cybersecurity -- Chapter 2. Reinforcement Learning Approaches in Cyber Security -- Chapter 3. Generative AI in Network Security and Intrusion Detection -- Chapter 4. Reshaping Cybersecurity of Wireless Sensor Networks Using Energy-Optimized Approach Against Wormhole Attack -- Chapter 5. AI in 6G Network Security and Management -- Chapter 6. Blockchain and Generative AI for Securing Distributed Systems -- Chapter 7. Securing IoT Devices Using Generative AI Techniques -- Chapter 8. Reshaping Secure Coding Through Generative AI Approach to Minimizing Programming Challenges -- Chapter 9. Security Considerations in Generative AI for Web Applications -- Chapter 10. Generative AI for Secure User Interface (UI) Design -- Chapter 11. Reshaping Cybersecurity Practices by Optimizing Web Application Penetration Testing -- Chapter 12. Ethics and Transparency in Secure Web Model Generation -- Chapter 13. Future Trends and Trials in Cybersecurity and Generative AI -- Chapter 14. Future Trends and Challenges in Cybersecurity and Generative AI -- Compilation of References -- About the Contributors -- Index.

"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 intelligenceand 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."--

Mode of access: World Wide Web.

ISBN: 9798369354179Subjects--Topical Terms:

557122
Computer security.
Subjects--Index Terms:

AI-Enhanced Dynamic Defense Strategies.Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA76.9.A25 / J43 2024eb

Dewey Class. No.: 005.8

Reshaping cybersecurity with generative AI techniques
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504 $a Includes bibliographical references and index.
505 0 $a Preface -- Chapter 1. Overview of Generative AI Techniques for Cybersecurity -- Chapter 2. Reinforcement Learning Approaches in Cyber Security -- Chapter 3. Generative AI in Network Security and Intrusion Detection -- Chapter 4. Reshaping Cybersecurity of Wireless Sensor Networks Using Energy-Optimized Approach Against Wormhole Attack -- Chapter 5. AI in 6G Network Security and Management -- Chapter 6. Blockchain and Generative AI for Securing Distributed Systems -- Chapter 7. Securing IoT Devices Using Generative AI Techniques -- Chapter 8. Reshaping Secure Coding Through Generative AI Approach to Minimizing Programming Challenges -- Chapter 9. Security Considerations in Generative AI for Web Applications -- Chapter 10. Generative AI for Secure User Interface (UI) Design -- Chapter 11. Reshaping Cybersecurity Practices by Optimizing Web Application Penetration Testing -- Chapter 12. Ethics and Transparency in Secure Web Model Generation -- Chapter 13. Future Trends and Trials in Cybersecurity and Generative AI -- Chapter 14. Future Trends and Challenges in Cybersecurity and Generative AI -- Compilation of References -- About the Contributors -- Index.
520 3 $a "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 intelligenceand 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."-- $c Provided by publisher.
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653 $a AI-Enhanced Dynamic Defense Strategies.
653 $a Adversarial Attack Defense.
653 $a Applications of Generative AI in Cybersecurity.
653 $a Building Resilient Systems.
653 $a Deep Learning for Threat Detection and Analysis.
653 $a Enhancing Security Through Generative AI-Based Authentication.
653 $a Ethical Considerations in Generative AI-Powered Cybersecurity.
653 $a Federated Learning for Collaborative Cyber Defense.
653 $a Generative AI for Threat Hunting and Behavior Analysis.
653 $a Generative AI for Threat Intelligence and Information Sharing.
653 $a Generative AI in Network Security and Intrusion Detection.
653 $a Generative AI-Based Forensics and Incident Response.
653 $a Generative Adversarial Networks (GANs) in Cybersecurity.
653 $a Leveraging Generative AI for Secure Communication Protocols.
653 $a Privacy-Preserving Techniques.
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