JPrivacy: A Java']Java Privacy Profiling Framework for Big Data Applications

被引：0

作者：

Abdellatif, Mohamed ^{[1
]}

Saleh, Iman ^{[1
]}

Blake, M. Brian ^{[1
]}

机构：

[1] Univ Miami, Dept Comp Sci, Coral Gables, FL 33124 USA

来源：

2014 INTERNATIONAL CONFERENCE ON COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS AND WORKSHARING (COLLABORATECOM) | 2014年

关键词：

Privacy; Big Data; !text type='Java']Java[!/text; Static Analysis;

D O I：

10.4108/icst.collaboratecom.2014.257666

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Businesses and government agencies are continuously generating and collecting huge amounts of data and building related Big Data applications. Big Data applications involve the collaborative integration of APIs from different providers. A challenge in this domain is to guarantee the conformance of the integration to privacy terms and regulations. In this paper, we present JPrivacy, a privacy profiling framework for Big Data applications. JPrivacy proposes a model for privacy rules and provide the algorithms and related tools to check Java code against these rules. We show through experimentation that JPrivacy can effectively detect privacy violations by statically analyzing a piece of code.

引用

页码：501 / 502

页数：2

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