Security Feasibility in Cloud Services, Challenges, Opportunities and Prospects

Ahmadimoghadam, Marziyeh

doi:10.22034/apj.2022.253960

Security Feasibility in Cloud Services, Challenges, Opportunities and Prospects

Document Type : Original Research Article

Author

Marziyeh Ahmadimoghadam

Computer Engineering Group, Zanjan Branch, Islamic Azad University, Zanjan, Iran

10.22034/apj.2022.253960

Abstract

Cloud computing is a new computing model that includes network computing, distributed computing; Parallel computing, virtualization technology, applied and auxiliary computing and other computer technologies originated. The security issue of cloud computing is very important and this issue can prevent the rapid development of cloud computing. If a security problem occurs for cloud computing, it can no longer be used on a large scale, and its rapid and widespread use by people will decrease. The two security issues of data privacy and service availability are among the issues that are raised about the security issue of cloud computing and are among its key security issues. Applying a security method alone cannot solve the security problem of cloud computing; Rather, a wide range of technologies, as well as new technologies and strategies, must be used together to protect the entire cloud computing system. This article introduces some fundamental cloud computing systems and the problem of security feasibility of cloud computing and existing risks and its related strategy as challenges, opportunities and perspectives of this field, according to the ideas and characteristics of cloud computing.

Keywords

Cloud Computing

Security

Service Agreement

Authentication

Authorization

[1] Cooksey, R.W. (2020). Descriptive Statistics for Summarising Data. In: Illustrating Statistical Procedures: Finding Meaning in Quantitative Data . Springer, Singapore. https://doi.org/10.1007/978-981-15-2537-7_5

[2] Howell, D. C. (2013). Statistical methods for psychology (8th ed.). Belmont, CA: Cengage Wadsworth. ch. 3.

[3] Steinberg, W. J. (2011). Statistics alive (2nd ed.). Los Angeles: Sage. ch. 7, 8, 9.

[4] Glass, G. V., & Hopkins, K. D. (1996). Statistical methods in education and psychology (3rd ed.). Upper Saddle River, NJ: Pearson. ch. 6.

[5] Keller, D. K. (2006). The tao of statistics: A path to understanding (with no math). Thousand Oaks, CA: Sage. ch. 10.

[6] Argyrous, G. (2011). Statistics for research: With a guide to SPSS (3rd ed.). London: Sage. ch. 11.

[7] ane, D. (2007). Online statistics education: A multimedia course of study. Houston, TX: Rice University. http://onlinestatbook.com/.

[8] Rosenthal, R., & Rosnow, R. L. (1991). Essentials of behavioral research: Methods and data analysis (2nd ed.). New York: McGraw-Hill Inc. ch. 13.

[9] Gravetter, F. J., & Wallnau, L. B. (2017). Statistics for the behavioural sciences (10th ed.). Belmont, CA: Wadsworth Cengage. ch. 4.

[10] George, D., & Mallery, P. (2019). IBM SPSS statistics 25 step by step: A simple guide and reference (15th ed.). New York: Routledge. ch. 7.

[11] Leinhardt, G., & Leinhardt, L. (1997). Exploratory data analysis. In J. P. Keeves (Ed.), Educational research, methodology, and measurement: An international handbook (2nd ed., pp. 519–528). Oxford: Pergamon Press.

[12] Howell, D. C. (2013). Statistical methods for psychology (8th ed.). Belmont, CA: Cengage Wadsworth. ch. 2.

[13] Glass, G. V., & Hopkins, K. D. (1996). Statistical methods in education and psychology (3rd ed.). Upper Saddle River, NJ: Pearson. ch. 3.

[14] Gravetter, F. J., & Wallnau, L. B. (2012). Statistics for the behavioural sciences (9th ed.). Belmont, CA: Wadsworth Cengage. ch. 5.