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1705001 Vol 7 · Issue 2 Download Paper

Block Chain Technology for Data Integrity and Security in Cloud Computing

Dr. Thanh-Chi Phan

Subject area: Science,Engineering and Technology  ·  Area of research: Block Chain

Abstract

Data is a vital resource in this day and age; in fact, it directs all corporate choices and the majority of computer-assisted human activities. As a result, threats to the integrity of data are of the utmost importance, as deliberately tampering with data may adversely influence key business choices. This problem is especially prevalent in cloud computing settings, because data owners do not have control over essential data characteristics in those environments, such as the physical storage of data and the control over who may access it. Recent years have seen the rise of blockchain as a fascinating new technology that, among other things, delivers appealing qualities regarding data integrity. "The use of the blockchain to combat threats to data integrity may seem like an obvious choice; however, the blockchain's existing limitations of poor throughput, high latency, and weak stability make it difficult to implement any blockchain-based solutions in a practical setting. In this paper, we focus on a case study from the European SUNFISH project, which is concerned with the design of a secure by-design cloud federation platform for the public sector. This allows us to precisely delineate the actual data integrity needs of cloud computing environments as well as the research questions that need to be addressed in order to adopt blockchain-based databases. First, we describe the unanswered questions in research and the challenges that come with trying to find answers to them.

Keywords

Block Chain, Cloud Computing

References

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[54] Ahmed Muayad Younus, Mohanad S.S. Abumandil, Veer P. Gangwar, Shashi Kant Gupta. " AI-Based Smart Education System for a Smart City Using an Improved Self-Adaptive Leap-Frogging Algorithm." CRC Press, 2022. https://doi.org/10.1201/9781003252542-14.

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[56] Parin Somani, Shashi Kant Gupta, Chandra Kumar Dixit, Anchal Pathak (2023). AI-based Competency Model and Design in the Workforce Development System (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070

[57] Shashi Kant Gupta, Alex Khang, Parin Somani, Chandra Kumar Dixit, Anchal Pathak (2023). Data Mining Processes and Decision-Making Models in Personnel Management System (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070

[58] Alex Khang, Shashi Kant Gupta, Chandra Kumar Dixit, Parin Somani (2023). Data-driven Application of Human Capital Management Databases, Big Data, and Data Mining (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070

[59] Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta, Anchal Pathak (2023). Data-centric Predictive Modelling of Turnover Rate and New Hire in Workforce Management System (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070

[60] Anchal Pathak, Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta (2023). Prediction of Employee’s Performance Using Machine Learning (ML) Techniques (1st Ed.), CRC Press. https://doi.org/10.1201/9781003357070

[61] Worakamol Wisetsri, Varinder Kumar, Shashi Kant Gupta, “Managerial Autonomy and Relationship Influence on Service Quality and Human Resource Performance”, Turkish Journal of Physiotherapy and Rehabilitation, Vol. 32, pp2, 2021.

How to cite this paper

Dr. Thanh-Chi Phan "Block Chain Technology for Data Integrity and Security in Cloud Computing" Iconic Research And Engineering Journals Volume 7 Issue 2 2023 Page 456-466
Dr. Thanh-Chi Phan "Block Chain Technology for Data Integrity and Security in Cloud Computing" Iconic Research And Engineering Journals, vol. 7, no. 2, Aug. 2023
Dr. Thanh-Chi Phan (2023). Block Chain Technology for Data Integrity and Security in Cloud Computing. Iconic Research And Engineering Journals, 7(2).
Dr. Thanh-Chi Phan "Block Chain Technology for Data Integrity and Security in Cloud Computing" Iconic Research And Engineering Journals, vol. 7, no. 2, Aug. 2023.
@article{1705001,
      author = {Dr. Thanh-Chi Phan},
      title = {Block Chain Technology for Data Integrity and Security in Cloud Computing},
      journal = {Iconic Research And Engineering Journals},
      year = {2023},
      volume = {7},
      number = {2},
      pages = {456-466},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1705001.pdf},
      abstract = {Data is a vital resource in this day and age; in fact, it directs all corporate choices and the majority of computer-assisted human activities. As a result, threats to the integrity of data are of the utmost importance, as deliberately tampering with data may adversely influence key business choices. This problem is especially prevalent in cloud computing settings, because data owners do not have control over essential data characteristics in those environments, such as the physical storage of data and the control over who may access it. Recent years have seen the rise of blockchain as a fascinating new technology that, among other things, delivers appealing qualities regarding data integrity. "The use of the blockchain to combat threats to data integrity may seem like an obvious choice; however, the blockchain's existing limitations of poor throughput, high latency, and weak stability make it difficult to implement any blockchain-based solutions in a practical setting. In this paper, we focus on a case study from the European SUNFISH project, which is concerned with the design of a secure by-design cloud federation platform for the public sector. This allows us to precisely delineate the actual data integrity needs of cloud computing environments as well as the research questions that need to be addressed in order to adopt blockchain-based databases. First, we describe the unanswered questions in research and the challenges that come with trying to find answers to them.},
      keywords = {Block Chain, Cloud Computing},
      month = {August},
  }