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Securing the Cloud: Mitigating Data Security and Privacy Challenges in Cloud Computing

In: AI in Finance Shaping the Future of Intelligent Automation and Financial Services

Author

Listed:
  • S. Babu Reddy
  • R. Ganesh
  • Nirmalya Pal
  • Sammarth Choudhury
  • Riya Sil

Abstract

With current businesses increasingly shifting toward the use of cloud computing, it is crucial to address the issue of data security in such environments. This literature survey aims to compile the current knowledge in a structured manner in order to provide a systematic review of the existing literature and gain insight into the complex implications of data security and privacy in the cloud. It begins by examining the problems specific to cloud computing, for instance, the issue of secure data transfer, storage complexities, and the development of strong access control mechanisms. The survey classifies and evaluates the complex processes involved in the protection of sensitive information, providing a comprehensive overview of the evolving landscapes in the context of cloud computing. It also assesses the effect of legislation and other compliance standards on data security and privacy in cloud environments, presenting an overview of existing governance and suggesting possible future developments. In addition, this survey critically assesses encryption techniques and data anonymization methods to understand their efficacy in mitigating vulnerabilities associated with cloud-based data storage. The function of identity and access management systems is explained, highlighting how they govern the secure use of users’ interactions with cloud services. Real-world case studies of data breaches and privacy issues in cloud environments are examined and reviewed to draw out valuable lessons learned and to recognize the areas that need improvement. The survey concludes with a discussion of current technology advancements and best practices in cloud security, along with the latest developments such as zero-trust architecture and secure multi-party computation. Upon analyzing existing research, this survey seeks to offer a deeper comprehension of the issues and their remedies for securing data in the cloud. The insights gained from this study are intended to aid future endeavors, to guide policymakers in developing effective regulations, and to support organizations in implementing proper measures for data security and privacy in cloud computing environments.

Suggested Citation

  • S. Babu Reddy & R. Ganesh & Nirmalya Pal & Sammarth Choudhury & Riya Sil, 2026. "Securing the Cloud: Mitigating Data Security and Privacy Challenges in Cloud Computing," World Scientific Book Chapters, in: Krishan Arora & Himanshu Sharma (ed.), AI in Finance Shaping the Future of Intelligent Automation and Financial Services, chapter 3, pages 47-69, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9781800618428_0003
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    JEL classification:

    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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