Paper Info
Title
A Data Usage Control System Using Dynamic Taint Tracking
Abstract
Data analytics services are on the rise, fostered by an increasing number of wearables and industrial sensors which are connected over the Internet. As a result, users who want to take advantage of these services are confronted with the challenge of keeping their private data and business secrets secure, while still providing the information required for the analytics service to operate. Traditional access and usage control do not solve this problem, as they only take binary access decisions, but do not enforce specific views on data sets. We propose a mechanism to control the ways in which data may be processed, thereby limiting the information which can be gained from data sets to the specific needs of a service. The core of our approach is to model data analytics as a data flow problem and to apply dynamic taint analysis for monitoring the processing of individual records. We propose a policy language to state requirements on the way how data is processed and enforce measures to ensure that critical data is not revealed. Our approach is based on the query evaluation of a complex event processing engine, which is thereby turned into a policy-controlled privacy-preserving data analytics service.
Year
DOI
Venue
2016
10.1109/AINA.2016.127
IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS IEEE AINA 2016
Field
DocType
ISSN
Data modeling,Data quality,Data analysis,Computer science,Computer security,Complex event processing,Computer network,Taint checking,Business intelligence,Analytics,Data flow diagram
Conference
1550-445X
Citations 
PageRank 
References 
2
0.37
0
Authors
2
Name
Order
Citations
PageRank
Julian Schütte15814.61
Gerd Stefan Brost251.42