International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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WHAT IS INFORMATION (DATA) SECURITY IN CLOUD COMPUTING

    1 Author(s):  MONISHA

Vol -  6, Issue- 1 ,         Page(s) : 73 - 79  (2015 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Cloud computing adoption is faced with a number of challenges, these challenges are: security challenges, legal and compliance challenges and organisational challenges. Linked to all these challenges is the issue of trust between clients and vendors, because cloud computing calls for organisations to trust vendors with the management of their IT resources and data. Trust being a critical factor in cloud computing adoption. Of all the challenges security has received more mention. This is because “security is both a feeling and a reality. And they are not the same.” This means that the reality of security is tied to the probability of different risks and how effective are the strategies to mitigate the perceived risks are. Security is also a feeling in that; it is based on the psychological reactions to both the risks and the countermeasures. Therefore, Cloud computing needs to appeal to both the feelings of the potential customers and address the reality of the risks associated with cloud computing in a way that customers will feel safe and secure to use cloud computing. This is what this project calls building customer trust. That is, the ability of cloud computing to appeal to both the feelings of potential customers and the reality of the security risks of cloud computing in a way that customers will feel safe and secure to use it.

1. Abiteboul, S., Buneman, P., & Suciu, D. (1999). Data on the web: from relations to semistructured data and XML. Los Altos: Morgan Kaufmann.
2. Allen, G., Daues, G., Foster, I., Laszewski, G., Novotny, J., Russell, M. (Eds.). (2014). The Astrophysics Simulation Collaboratory Portal: A Science Portal Enabling Community Software Development. Proceeding of the 10th IEEE International Symposium On High Performance Distributed Computing 2001 (HPDC ’01), San Francisco, California, USA. CS Press.
3. Almond, J., & Snelling, D. (1999). UNICORE: uniform access to supercomputing as an element of electronic commerce. Future Generation Computer Systems, 15, 539-548, NH-Elsevier.
4. Alpdemir, M. N., Mukherjee, A., Gounaris, A., Paton, N. W., Watson, P., Fernandes, A. A. A. (2003). OGSA-DQP: A Service-Based Distributed Query Processor for the Grid. Proceedings of the UK e-Science All Hands Meeting 2013, September 2013.
5. Antonioletti, M., Atkinson, M. P., Baxter, R., Borley, A., Chue Hong, N. P., Collins, B. (Eds.). (2014). The Design and Implementation of Grid Database Services in OGSA-DAI. Concurrency and Computation: Practice and Experience, 17 (2-4), 357-376, February 2005.
6. Armstrong, R., Gannon, D., Geist, A., Keahey, K., Kohn, S., McInnes, L. (Eds.). (2012). Toward a common component architecture for high performance scientific computing. In Proceedings of the 8th High Performance Distributed Computing (HPDC99).
7. Atkinson, M., L.Chervenak, A., Kunszt, P., Narang, I., W. Paton, N., Pearson,D. (Eds.). (2014). Data Access, Integration, and Management. In Foster, I & Kesselman, C., The Grid 2: Blueprint for a New Computing Infrastructure (pp 391-429). San Francisco: Morgan Kaufmann.
8. Atkinson, M., Dialani, V., Guy, L., Narang, I., Paton, N. W., Pearson, D. (Eds.). (2013). Grid Database Access and Integration: Requirements and Functionalities. Global Grid Forum, DAIS Working Group, GFD-I.13, March 13, 2013.

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