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

机译：通过云计算和大数据分析增强企业Android应用程序安全性

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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.
机译：在现代企业中，传统的Android应用评估方法具有许多限制，其中一个是孤立不同评估系统，阻碍了评估过程的效率和能力。本研究的目的是开发一个框架，促进云计算和大数据分析在建设评估系统上的使用。基于云的设计允许系统以较低的成本实现计算能力，以便它可以应用各种评估技术的混合利用，以产生更多样化和客观的测试结果。云上的集中信息存储库使大量数据分析能够在广泛的测试结果上执行，以实现增强的应用程序安全状态的洞察力。 BDA诸如聚类和可视化之类的技术可以更好地理解潜在的安全问题和如何改进企业信息系统的预测。为了巩固分析结果的可用性，应在系统设计中采用SOA，以便数据可以为其他系统提供可扩展服务。最后，基于所提出的框架作为框架实现的图示设计了实验系统。

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