A Novel Approach to Security Optimization in Distributed Cloud SaaS Using Serialized Sealing and Signing
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Abstract
Cloud Software-as-a-Service (SaaS) operates in a distributed environment where multiple cloud service providers share and process Service Level Agreements (SLAs) with third parties. Security remains a critical concern in such data-sharing environments. Existing systems often permit third parties to access sensitive data, which can result in serious issues such as data theft, data manipulation, and data breaches, leading to significant business risks for data owners.The proposed Java-based technology utilizes serialized sealing and signing of object communication to enhance security across storage, communication, and distributed services. The experimental findings demonstrate that the proposed security approach outperforms existing security systems in terms of efficiency while providing enhanced protection for cloud-based SaaS environments.
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**References**
[1] Dávid János Fehér and Barnabás Sándor, *Cloud SaaS Security Issues and Challenges*. Published by IEEE. ISBN: 978-1-7281-0686-1.
[2] Haiteng Han, Sichen Shen, Zhinong Wei, Mohammed Olama, Haixiang Zang, Guoqiang Sun, and Yizhou Zhou, “Security Constrained Distributed Transaction Model for Multiple Prosumers,” *CSEE Journal of Power and Energy Systems*, ISSN: 2096-0042, Published: 03 March 2023.
[3] Danilo Ardagna, Giuliano Casale, Michele Ciavotta, Juan F. Pérez, and Weikun Wang, “Quality-of-Service in Cloud Computing: Modeling Techniques and Their Applications,” *Springer Open*, Published: 25 September 2014.
[4] Shan Liu, Keming Yue, Hua Yang, Lu Liu, Xiaorong Duan, and Ting Guo, “The Research on SaaS Model Based on Cloud Computing,” Published by IEEE. ISBN: 978-1-5386-1803-5.
[5] Haiteng Han, Sichen Shen, Zhinong Wei, Mohammed Olama, Haixiang Zang, Guoqiang Sun, and Yizhou Zhou, “Security Constrained Distributed Transaction Model for Multiple Prosumers,” *CSEE Journal of Power and Energy Systems*, ISSN: 2096-0042, Published: 03 March 2023.
[6] D. M. Nessett, “Factors Affecting Distributed System Security,” *IEEE Transactions on Software Engineering*, vol. SE-13, no. 2, February 1987. Lawrence Livermore National Laboratory, University of California, Livermore, CA, USA.
[7] Feng Liu, Weiping Guo, Zhi Qiang Zhao, and Wu Chou, “SaaS Integration for Software Cloud,” Published by IEEE. ISSN: 2159-6190.
[8] Trima Goyat, Nitin Pandey, Vinod Kumar Shukla, and Ajay Vikram Singh, “Review of Protocol Security and Cloud Model in Cloud Computing Environment,” Published by IEEE. ISBN: 978-1-6654-1703-7.
[9] Ritu Maheshwari, Aayushi Toshniwal, and Avnish Dubey, “Software as a Service Architecture and Its Security Issues: A Review,” Published by IEEE. ISBN: 978-1-7281-2813-9.
[10] “Data Security of SaaS Platform Based on Blockchain and Decentralized Technology,” Harbin Finance University, Harbin City, China. ISBN: 978-1-7281-4685-0.
[11] Ahmed Albugmi, Madini O. Alassafi, Robert Walters, and Gary Wills, “Data Security in Cloud Computing,” Published by IEEE. ISBN: 2377-2638.
[12] Olusola Akinrolabu, Steve New, and Andrew Martin, “Assessing the Security Risks of Multicloud SaaS Applications: A Real-World Case Study,” Published by IEEE. ISBN: 978-1-7281-1661-7.
[13] Dharitri Tripathy, Rudrarajsinh Gohil, and Talal Halabi, “Detecting SQL Injection Attacks in Cloud SaaS Using Machine Learning,” Published by IEEE. ISBN: 978-1-7281-6873-9.
[14] Suyash S. Ghuge, Nishant Kumar, S. Savitha, and V. Suraj, “Multilayer Technique to Secure Data Transfer in Private Cloud for SaaS Applications,” Published by IEEE. ISBN: 978-1-7281-4167-1.
[15] Satti Rami Reddy, Satti Mouli Satti Reddy, Suja Cherukullapurath Mana, B. Keerthi Samhitha, and Jithina Jose, “Implementation of a Privacy Preserving and Loss Data Retrieval System for Cloud Environment,” Published by IEEE. ISBN: 978-1-7281-5518-0.