Name
Abstract | ||
|---|---|---|
Online services such as social care, tax services, bank loans and many others, request individuals to fill in application forms with hundreds of private data items, in order to calibrate their offer. In practice, far too much data is requested, leading to over data disclosure. As shown in our previous works, avoiding this problem would (1) improve the privacy of the applicants and (2) decrease costs for service providers. We demonstrate here a prototype designed and implemented in partnership with the General Council of Yvelines District in France. The prototype targets forms used to calibrate social care for dependant people. To maintain the privacy of the decision process used to calibrate the social care, we propose a smartcard implementation. We will show that a 50% reduction of the items exposed in application forms can be achieved, explore the quality and scalability of our smartcard implementation, and demonstrate its scope. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2452376.2452472 | EDBT |
Keywords | Field | DocType |
data collection,general council,application form,yvelines district,bank loan,prototype target,smartcard implementation,social care,smart card,data disclosure,online service,private data item,privacy | Data collection,Data mining,Computer science,Computer security,Smart card,Service provider,Decision process,Dependant,General partnership,Limiting,Database,Scalability | Conference |
Citations | PageRank | References |
1 | 0.38 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicolas Anciaux | 1 | 148 | 22.93 |
| Walid Bezza | 2 | 1 | 0.38 |
| Benjamin Nguyen | 3 | 1 | 0.38 |
| Michalis Vazirgiannis | 4 | 3942 | 268.00 |