检查外包数据存储系统的错误

D. Jayashree, K. Sivagami, T. Anju, G. Lavanya, S. Malini
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引用次数: 0

摘要

如今,云游戏商店的移动应用程序有了巨大的增长。有许多应用程序可以用来安排我们的日常活动,检查电子邮件,召开电话会议,使用社交网络等。随着技术的发展,应用程序的欺诈性也在增加。一些应用程序开发人员使用复杂的方法将他们的应用程序排在应用程序列表的前列。为此,提出了一种欺诈检测机制,以帮助用户识别欺诈应用程序中的虚假外包数据。检测机制是基于手机应用的下载历史、评论、评级和活跃期的聚合。通过这种机制,确保了用户和真正的应用程序开发人员的满意度因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Checking falseness in outsourced data storage systems
Mobile Applications of cloud play stores have a tremendous growth nowadays. Numerous applications are available to schedule our day to day activities, checking emails, making conference calls, connect using social network and so on. As the technology grows the fraudulence of applications has also increased. Some Application developers use tricky measures to rank their applications in the top Applications list. For this purpose, a fraud detection mechanism is proposed to help the user about the false outsourced data that is the fraud applications. The detection mechanism is based on the aggregation of the download history, reviews, ratings and active periods of the mobile application. By means of this mechanism the factor of satisfiablity is ensured for the users and the genuine application developers.
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