文章基本信息

标题：Implementation of Fog Computing in Cloud Enterprise for Data Security and Privacy Management
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作者：Poorva Khemaria ; Shiv Kumar ; Babita Pathik 等
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2017
卷号：7
期号：1
页码：3-6
出版社：International Journal of Soft Computing & Engineering
摘要：advancement of cloud technology named as fog computing. The process of fog computing faced a problem of latency and internet connectivity. The access of data over the fog computing need some trust based authentication and authorization process. In fog computing environment two major issue one is data leakage and other is location privacy. The location privacy preserve the user access and authentication process. The location privacy in fog computing is major issue. For the location privacy used various authentication and authorization process. To address these dangers, auditable information stockpiling administration has been proposed with regards to distributed computing to secure the information. Strategies, for example, holomorphic encryption and searchable encryption are consolidated to give uprightness, confidentiality and variability for distributed storage framework to permit a customer to check its information put away on untrusted servers. In this paper used Bloom filter data structure for the location privacy in fog computing model. The fog computing model work very efficiently in terms of low latency and high speed.
关键词：WSN; AOI; POI; SA; BM; CEP.