Imperial College London

Professor Emil Lupu

Faculty of EngineeringDepartment of Computing

Professor of Computer Systems
 
 
 
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Contact

 

e.c.lupu Website

 
 
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Location

 

564Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Karafili:2018:10.1109/BigData.2017.8258270,
author = {Karafili, E and Lupu, E and Cullen, A and Williams, B and Arunkumar, S and Calo, S and Karafili, E and Lupu, E and Cullen, A and Williams, B and Arunkumar, S and Calo, S},
doi = {10.1109/BigData.2017.8258270},
publisher = {IEEE},
title = {Improving data sharing in data rich environments},
url = {http://dx.doi.org/10.1109/BigData.2017.8258270},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - The increasing use of big data comes along with the problem of ensuring correct and secure data access. There is a need to maximise the data dissemination whilst controlling their access. Depending on the type of users different qualities and parts of data are shared. We introduce an alteration mechanism, more precisely a restriction one, based on a policy analysis language. The alteration reflects the level of trust and relations the users have, and are represented as policies inside the data sharing agreements. These agreements are attached to the data and are enforced every time the data are accessed, used or shared. We show the use of our alteration mechanism with a military use case, where different parties are involved during the missions, and they have different relations of trust and partnership.
AU - Karafili,E
AU - Lupu,E
AU - Cullen,A
AU - Williams,B
AU - Arunkumar,S
AU - Calo,S
AU - Karafili,E
AU - Lupu,E
AU - Cullen,A
AU - Williams,B
AU - Arunkumar,S
AU - Calo,S
DO - 10.1109/BigData.2017.8258270
PB - IEEE
PY - 2018///
TI - Improving data sharing in data rich environments
UR - http://dx.doi.org/10.1109/BigData.2017.8258270
UR - http://hdl.handle.net/10044/1/54027
ER -