Computational and Statistical Analysis of Security and Privacy Parameters of Cloud Computing in Information Technology

Journal of computer sciences

article

Jimbo Claver¹  Edris Hamraz²  Takeru Suzuki¹  Ngongo Seraphin³  Andjiga Gabriel³  Etoua Magloire⁴ 

[1] Rise Waseda University;American University of Afghanistan;University of Yaounde-1;Advanced School of Engineering of Yaoundé (NASEY)

关键词: Cloud Computing;    Security;    Privacy;    Statistical Data Analysis;    Parameters;    Information Science;    Statistical Modelling and Data Mining;   

DOI  :  10.3844/jcssp.2020.1625.1638

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Information Technology has transformed the way cloud computing itself can help to manage, consume and improve cost efficiencies, accelerate innovation, provide faster time to the market and develop the ability to scale applications on demands and services. In this research work, we present recent developments and some statistical analysis techniques used in cloud computing development with challenges related to the security and privacy in information technology. The ultimate goal in this research is to detect relevant factors that are more likely to affect security and privacy in cloud computing services. Moreover, we identify the security risks and the threats that have already been recognized by cloud security alliance as vital components of those challenges. Finally, the solutions we found in this study will efficiently help private and governmental organizations to resolve some of the important security challenges. Although the suggested solutions still remain at the Service level agreements contracted between the cloud provider and consumer, it will secure the cloud users and earn their satisfactions in cloud computing services.

【 授权许可】

CC BY