Privacy-Preserving Data Encryption Strategy for Big Data in Mobile Cloud Computing

Abstract

Privacy-Preserving Data Encryption Strategy for Big Data in Mobile Cloud Computing java project report Privacy has become a considerable issue when the applications of big data are dramatically growing in cloud computing. The benefits of the implementation for these emerging technologies have improved or changed service models and improve application performances in various perspectives. However, the remarkably growing volume of data sizes has also resulted in many challenges in practice.

The execution time of the data encryption is one of the serious issues during the data processing and transmissions. Many current applications abandon data encryptions in order to reach an adoptive performance level companioning with privacy concerns. In this paper, we concentrate on privacy and propose a novel data encryption approach, which is called Dynamic Data Encryption Strategy (D2ES). Our proposed approach aims to selectively encrypt data and use privacy classification methods under timing constraints. This approach is designed to maximize the privacy protection scope by using a selective encryption strategy within the required execution time requirements.

System Configuration:

H/W System Configuration:-

System          : Pentium I3 Processor.
Hard Disk       : 500 GB.
Monitor          : Standard LED Monitor
Input Devices : Keyboard
Ram               : 4 GB

S/W System Configuration:-

Operating system              : Windows 7/8/10.
Available Coding Language : Java and Phonegap
Database                          : MYSQL

Conclusion

This paper focused on the Privacy-Preserving Data Encryption Strategy for Big Data project report  The proposed approach, D2ES, was designed to maximize the efficiency of privacy protections. Main algorithm supporting D2ES model was DED algorithm that was developed to dynamically alternative data packages for encryptions under different timing constraints. The experimental evaluations showed the proposed approach had an adaptive and superior performance.