Efficient Fog Assisted Cloud Data Management Scheme using Cipher Policy Enabled Deep Learning Strategies

  • J. Venkatesh, R. Janarthanan
Keywords: Cloud Environment, Data Manipulation, Data Security, Fog Computing, Logical Learning, LLDMS

Abstract

Now-a-days, lots of industries including both commercial and non-commercial firms manage their data in digital manner over the remote server. The most important purpose of maintaining the data over the remote server is safety, in which the local environment getting suffered from any accidents, the data maintained into the remote server remains safe. This is the reason of many organizations move their data in digital format and maintains that into the global server. The term remote server specified over here mentions the cloud environment. A common question raised to everyone's mind is regarding the safety and privacy measures over the cloud environment, in which it is raised because of the data is not maintained into the local place. This paper is intended to design the new environment to resolve all the problems occurred on remote server based data maintenance. In this paper, a new methodology is designed to provide an efficient environment for maintain the data with full security and privacy measures, in which it is called as Logical Learning based Data Manipulation Scheme (LLDMS). This proposed approach of LLDMS integrates several technologies into it to provide a global support to all clients in an intellectual manner. This methodology associates the techniques called Fog Computing, Deep Learning, Cryptography and Access Control norms to provide a proper security measures to the data maintained into the server. The concept of deep learning is associated over this approach to manipulate the incoming data and analyzing the priority level of the data, in which the high priority data will be passed to the remote cloud server and the low priority data is maintained into the local server. In this case, the concept of Fog association is required, in which the fog servers are created on the local environment to maintain the regular periodical data that contains usual records of day-to-day activities. This system provides periodical backup options to maintain the fog data in safe manner. The concept of Cryptography is associated in this approach to enable the data security over the server environment, in which the logic of Advanced Encryption Standard (AES) with 512-bit encryption frequency is used to provide high end security to the data. The access control logics are associated in this approach to ensure the privacy of the cloud environment. For all the proposed approach of LLDMS assures the data security over the cloud environment in fine manner.

Published
2021-06-18
How to Cite
R. Janarthanan, J. V. (2021). Efficient Fog Assisted Cloud Data Management Scheme using Cipher Policy Enabled Deep Learning Strategies. Design Engineering, 1542-1554. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/2152
Section
Articles