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Convergence of cybersecurity and cloud computing
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Convergence of cybersecurity and cloud computing/ J. Avanija, Sam Goundar, Reddy Madhavi Konduru, editors.
其他作者:
Goundar, Sam.
出版者:
Hershey, Pennsylvania :IGI Global, : 2025.,
面頁冊數:
1 online resource (xxxi, 670 p.)
標題:
Cloud computing - Security measures. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-6859-6
ISBN:
9798369368619
Convergence of cybersecurity and cloud computing
Convergence of cybersecurity and cloud computing
[electronic resource] /J. Avanija, Sam Goundar, Reddy Madhavi Konduru, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxxi, 670 p.) - Advances in information security, privacy, and ethics (AISPE) book series. - Advances in information security, privacy, and ethics (AISPE) book series..
Includes bibliographic references and index.
Preface -- Chapter 1. Taxonomy of Cyber Security and Cloud Computing -- Chapter 2. Issues, Opportunities, and Limitations on the Convergence of Cybersecurity and Cloud Computing -- Chapter 3. Applications of the Convergence of CyberSecurity and Cloud Computing -- Chapter 4. The Convergence of Cybersecurity and Cloud Computing -- Chapter 5. Integrating Federated Learning for Edge Intelligence in Cybersecurity and Cloud Computing -- Chapter 6. Exploring the Synergy of Blockchain and Digital Finance for Enhancing Trust in a Cloud-Enabled Economy -- Chapter 7. Secured and Privacy-Preserved Aggregation of Data in Edge Computing Using Blockchain-Based Secured Aggregation (BSA) -- Chapter 8. A Dynamic Cybersecurity Framework for Energy-Efficient Internet of Things -- Chapter 9. A Systematic Security Analysis of Existing Sybil Attack-Resilient Defensive Methodologies in Blockchain Network -- Chapter 10. A Hybrid Technique to Secure Logistics Information Through Blockchain and NTRUEncrypt -- Chapter 11. A Research Based on Data Security and Privacy in Cloud Computing -- Chapter 12. AI-Driven Threat Detection in Cloud Environments -- Chapter 13. Benefits and Challenges of Metaverse in Healthcare Industry -- Chapter 14. Cutting-Edge Approaches to Data Protection and Encryption in Cloud Computing Security -- Chapter 15. Cybersecurity Challenges in Edge and Fog Computing Within Cloud Ecosystems -- Chapter 16. Cybersecurity, Cloud Computing, Edge Computing, Cloud Security, Data Protection and Encryption in Cloud Networks -- Chapter 17. Data Protection and Encryption in Cloud Network Security: Security and Privacy in Cloud Network Security -- Chapter 18. Essential Concepts and Strategies for Effective Cybersecurity Defense -- Chapter 19. Ethical Implications and Mitigation Strategies for Public Safety and Security in Smart Cities for Securing Tomorrow -- Chapter 20. Improved Security in MobileCloud Computing Using Modern Cryptographic Approaches -- Chapter 21. Protecting Your Digital Life From Cyber Threats and Vulnerabilities -- Chapter 22. Ransomware Detection Using Ensemble of Deep Learning Models -- Chapter 23. Uncovering Hidden Threats in IoT-Centered Cloud Technology: A Study on Hardware Trojans in Security Prospects -- Chapter 24. Zero Trust Architecture in Cloud Security -- Compilation of References -- About the Contributors -- Index.
Convergence of cybersecurity and cloud computing is a comprehensive resource to navigate the link between cybersecurity and cloud computing. It discusses the unique security challenges that arise from cloud environments. Covering topics such as artificial intelligence, data protection, and threat detection, this book is an excellent resource for academicians, research scholars, IT professionals, security experts, faculty, and more.
Mode of access: World Wide Web.
ISBN: 9798369368619Subjects--Topical Terms:
775821
Cloud computing
--Security measures.Subjects--Index Terms:
Artificial Intelligence (AI)Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: QA76.585 / .C66 2025eb
Dewey Class. No.: 004.6782
Convergence of cybersecurity and cloud computing
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Preface -- Chapter 1. Taxonomy of Cyber Security and Cloud Computing -- Chapter 2. Issues, Opportunities, and Limitations on the Convergence of Cybersecurity and Cloud Computing -- Chapter 3. Applications of the Convergence of CyberSecurity and Cloud Computing -- Chapter 4. The Convergence of Cybersecurity and Cloud Computing -- Chapter 5. Integrating Federated Learning for Edge Intelligence in Cybersecurity and Cloud Computing -- Chapter 6. Exploring the Synergy of Blockchain and Digital Finance for Enhancing Trust in a Cloud-Enabled Economy -- Chapter 7. Secured and Privacy-Preserved Aggregation of Data in Edge Computing Using Blockchain-Based Secured Aggregation (BSA) -- Chapter 8. A Dynamic Cybersecurity Framework for Energy-Efficient Internet of Things -- Chapter 9. A Systematic Security Analysis of Existing Sybil Attack-Resilient Defensive Methodologies in Blockchain Network -- Chapter 10. A Hybrid Technique to Secure Logistics Information Through Blockchain and NTRUEncrypt -- Chapter 11. A Research Based on Data Security and Privacy in Cloud Computing -- Chapter 12. AI-Driven Threat Detection in Cloud Environments -- Chapter 13. Benefits and Challenges of Metaverse in Healthcare Industry -- Chapter 14. Cutting-Edge Approaches to Data Protection and Encryption in Cloud Computing Security -- Chapter 15. Cybersecurity Challenges in Edge and Fog Computing Within Cloud Ecosystems -- Chapter 16. Cybersecurity, Cloud Computing, Edge Computing, Cloud Security, Data Protection and Encryption in Cloud Networks -- Chapter 17. Data Protection and Encryption in Cloud Network Security: Security and Privacy in Cloud Network Security -- Chapter 18. Essential Concepts and Strategies for Effective Cybersecurity Defense -- Chapter 19. Ethical Implications and Mitigation Strategies for Public Safety and Security in Smart Cities for Securing Tomorrow -- Chapter 20. Improved Security in MobileCloud Computing Using Modern Cryptographic Approaches -- Chapter 21. Protecting Your Digital Life From Cyber Threats and Vulnerabilities -- Chapter 22. Ransomware Detection Using Ensemble of Deep Learning Models -- Chapter 23. Uncovering Hidden Threats in IoT-Centered Cloud Technology: A Study on Hardware Trojans in Security Prospects -- Chapter 24. Zero Trust Architecture in Cloud Security -- Compilation of References -- About the Contributors -- Index.
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