JPrivacy: A java privacy profiling framework for Big Data applications

Mohamed Abdellatif, Iman Saleh, M. Brian Blake

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationCollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing
Subtitle of host publicationNetworking, Applications and Worksharing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages501-502
Number of pages2
ISBN (Electronic)9781631900433
DOIs
StatePublished - Jan 19 2015
Event10th IEEE/EAI International Conference on Collaborative Computing, CollaborateCom 2014 - Miami, United States
Duration: Oct 22 2014Oct 25 2014

Publication series

NameCollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Other

Other10th IEEE/EAI International Conference on Collaborative Computing, CollaborateCom 2014
Country/TerritoryUnited States
CityMiami
Period10/22/1410/25/14

Keywords

  • Big Data
  • Java
  • Privacy
  • Static Analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Software

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