Title

Enhance enterprise Android application security with cloud computing and big data analytics

Document Type

Conference Proceeding

Publication Title

2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference

Publisher

IEEE

School

School of Science

RAS ID

19134

Comments

Originally published as: Zhong, H., Xiao, J., & Zheng, X. (2014). Enhance enterprise Android application security with cloud computing and big data analytics. In proceedings of the 2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference (pp. 238-243). Original publication available here

Abstract

In modern enterprises, conventional Android application assessment approaches have many limitations, one of which is the isolation of different assessment systems that hinders the efficiency and capacity of the assessing processes. The objective of this research is to develop a framework that promotes the use of cloud computing and Big Data Analytics on building the assessment system. Cloud-based design allows the system to achieve computing capacity in a lower cost, so that it can apply mixed utilization of various assessment techniques to generate more diversified and objective testing results. Centralized information repository on the cloud enables Big Data Analytics to be performed on the extensive testing results to achieve enhanced insight of the application security status. BDA techniques such as clustering and visualization provides better comprehension on the underlying security issues and prediction on how to improve the enterprise information systems. To aggrandize the availability of the analytic results, SOA should be adopted in the system design, so that the data can be provided as extendable services for other systems. Finally, an experimental system is designed based on the proposed framework as an illustration on the framework implementation.

DOI

10.1109/ITAIC.2014.7065042

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