Abstract
Recently, privacy concerns about data collection have received an increasing amount of attention. In data collection process, a data collector (an agency) assumed that all respondents would be comfortable with submitting their data if the published data was anonymous. We believe that this assumption is not realistic because the increase in privacy concerns causes some respondents to refuse participation or to submit inaccurate data to such agencies. If respondents submit inaccurate data, then the usefulness of the results from analysis of the collected data cannot be guaranteed. Furthermore, we note that the level of anonymity (i.e., k-anonymity) guaranteed by an agency cannot be verified by respondents since they generally do not have access to all of the data that is released. Therefore, we introduce the notion of ki-anonymity, where ki. is the level of anonymity preferred by each respondent i. Instead of placing full trust in an agency, our solution increases respondent confidence by allowing each to decide the preferred level of protection. As such, our protocol ensures that respondents achieve their preferred ki-anonymity during data collection and guarantees that the collected records are genuine and useful for data analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 720-731 |
| Number of pages | 12 |
| Journal | Frontiers of Information Technology and Electronic Engineering |
| Volume | 16 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - Jan 1 2015 |
| Externally published | Yes |
Keywords
- Anonymous data collection
- k-anonymity
- Respondent-preferred privacy protection
ASJC Scopus subject areas
- Signal Processing
- Hardware and Architecture
- Computer Networks and Communications
- Electrical and Electronic Engineering
Cite this
Towards a respondent-preferred ki-anonymity model. / Wong, Kok Seng; Kim, Myung Ho.
In: Frontiers of Information Technology and Electronic Engineering, Vol. 16, No. 9, 01.01.2015, p. 720-731.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Towards a respondent-preferred ki-anonymity model
AU - Wong, Kok Seng
AU - Kim, Myung Ho
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Recently, privacy concerns about data collection have received an increasing amount of attention. In data collection process, a data collector (an agency) assumed that all respondents would be comfortable with submitting their data if the published data was anonymous. We believe that this assumption is not realistic because the increase in privacy concerns causes some respondents to refuse participation or to submit inaccurate data to such agencies. If respondents submit inaccurate data, then the usefulness of the results from analysis of the collected data cannot be guaranteed. Furthermore, we note that the level of anonymity (i.e., k-anonymity) guaranteed by an agency cannot be verified by respondents since they generally do not have access to all of the data that is released. Therefore, we introduce the notion of ki-anonymity, where ki. is the level of anonymity preferred by each respondent i. Instead of placing full trust in an agency, our solution increases respondent confidence by allowing each to decide the preferred level of protection. As such, our protocol ensures that respondents achieve their preferred ki-anonymity during data collection and guarantees that the collected records are genuine and useful for data analysis.
AB - Recently, privacy concerns about data collection have received an increasing amount of attention. In data collection process, a data collector (an agency) assumed that all respondents would be comfortable with submitting their data if the published data was anonymous. We believe that this assumption is not realistic because the increase in privacy concerns causes some respondents to refuse participation or to submit inaccurate data to such agencies. If respondents submit inaccurate data, then the usefulness of the results from analysis of the collected data cannot be guaranteed. Furthermore, we note that the level of anonymity (i.e., k-anonymity) guaranteed by an agency cannot be verified by respondents since they generally do not have access to all of the data that is released. Therefore, we introduce the notion of ki-anonymity, where ki. is the level of anonymity preferred by each respondent i. Instead of placing full trust in an agency, our solution increases respondent confidence by allowing each to decide the preferred level of protection. As such, our protocol ensures that respondents achieve their preferred ki-anonymity during data collection and guarantees that the collected records are genuine and useful for data analysis.
KW - Anonymous data collection
KW - k-anonymity
KW - Respondent-preferred privacy protection
UR - http://www.scopus.com/inward/record.url?scp=84942032371&partnerID=8YFLogxK
U2 - 10.1631/FITEE.1400395
DO - 10.1631/FITEE.1400395
M3 - Article
VL - 16
SP - 720
EP - 731
JO - Frontiers of Information Technology and Electronic Engineering
JF - Frontiers of Information Technology and Electronic Engineering
SN - 2095-9184
IS - 9
ER -