Bigdata Driven Cloud Security: A Survey

International Conference on Materials, Alloys and Experimental Mechanics 2017

材料科学;金属学;机械制造

Raja, K.^1 ; Hanifa, Sabibullah Mohamed^1

PG and Research Department of Computer Science, Sudharsan College of Arts and Science, Pudukkottai, Tamilnadu

622 104, India^1

关键词: Cloud computing environments;    Cloud environments;    Cloud-based applications;    Complex computing;    Computing hardware;    Database as a service;    Physical environments;    Transmitting data;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/225/1/012184/pdf
DOI  :  10.1088/1757-899X/225/1/012184

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Cloud Computing (CC) is a fast-growing technology to perform massive-scale and complex computing. It eliminates the need to maintain expensive computing hardware, dedicated space, and software. Recently, it has been observed that massive growth in the scale of data or big data generated through cloud computing. CC consists of a front-end, includes the users' computers and software required to access the cloud network, and back-end consists of various computers, servers and database systems that create the cloud. In SaaS (Software as-a-Service - end users to utilize outsourced software), PaaS (Platform as-a-Service-platform is provided) and IaaS (Infrastructure as-a-Service-physical environment is outsourced), and DaaS (Database as-a-Service-data can be housed within a cloud), where leading / traditional cloud ecosystem delivers the cloud services become a powerful and popular architecture. Many challenges and issues are in security or threats, most vital barrier for cloud computing environment. The main barrier to the adoption of CC in health care relates to Data security. When placing and transmitting data using public networks, cyber attacks in any form are anticipated in CC. Hence, cloud service users need to understand the risk of data breaches and adoption of service delivery model during deployment. This survey deeply covers the CC security issues (covering Data Security in Health care) so as to researchers can develop the robust security application models using Big Data (BD) on CC (can be created / deployed easily). Since, BD evaluation is driven by fast-growing cloud-based applications developed using virtualized technologies. In this purview, MapReduce [12] is a good example of big data processing in a cloud environment, and a model for Cloud providers.