@inproceedings{e70afe76f4fa45798f10ce6e3e61893b,
title = "JPrivacy: A java privacy profiling framework for Big Data applications",
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.",
keywords = "Big Data, Java, Privacy, Static Analysis",
author = "Mohamed Abdellatif and Iman Saleh and Blake, {M. Brian}",
note = "Publisher Copyright: {\textcopyright} 2014 ICST. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; 10th IEEE/EAI International Conference on Collaborative Computing, CollaborateCom 2014 ; Conference date: 22-10-2014 Through 25-10-2014",
year = "2015",
month = jan,
day = "19",
doi = "10.4108/icst.collaboratecom.2014.257666",
language = "English (US)",
series = "CollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "501--502",
booktitle = "CollaborateCom 2014 - Proceedings of the 10th IEEE International Conference on Collaborative Computing",
}