Investigation and performance analysis of optimized access control for cloud environment

Abstract

One of the fastest-growing and emerging applications among various computing industries is Big Data analytics. The volume of Big Data is increasing day by day in certain applications like healthcare, surveillance and agriculture monitoring. To persist, maintain and manage the Big Data, the cloud data centers are highly recommended. It is well known that the cloud doesn t provide complete security in terms of data and data access. Due to volume, velocity and variety of big data, data security and privacy issues are increased. Big data are an essential need for enterprise companies looking to connect their commercial potential. Since the growth of Big Data is endless, malicious activity over the data is also increased. Data generation is very fast and it is generated from various sources. Malicious activity has been focused on collecting the search history of web browsers, credit/debit card payments, pinging from mobiles through nearest cell phone towers etc. Using sensitive information any accidental/un-authorized disclosure of the data makes more serious consequences for the enterprises in terms of financial or business formula, which makes a huge loss of customer trust. So, industries are not willing to use cloud data centers to share secret and privacy data. In order to provide a better solution for the above-said problems, various private and public cloud services provide key generation and sharing methods for data security. Some of the companies store their data in an unreadable format, where it cannot be used by the malicious users and it will not leak out the company data. But still, the security level is low and due to that enterprises meet data loss and leak. newline