TY - GEN
T1 - TMk-anonymity
T2 - 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
AU - Nakamura, Taichi
AU - Nishi, Hiroaki
N1 - Funding Information:
This work was supported by Technology Foundation of the R&D project "Design of Information and Communication Platform for Future Smart Community Services" by the Ministry of Internal Affairs and Communications of Japan. Moreover, the authors express their gratitude to MEXT/JSPS KAKENHI Grant (B) Numbers JP17H01739.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/26
Y1 - 2018/12/26
N2 - The recent emergence of smartphones, cloud computing, and the Internet of Things has brought about the explosion of data creation. By collating and merging these enormous data with other information, services that use information become more sophisticated and advanced. However, at the same time, the consideration of privacy violations caused by such merging is indispensable. Various anonymization methods have been proposed to preserve privacy. The conventional perturbation-based anonymization method of location data adds comparatively larger noise, and the larger noise makes it difficult to utilize the data effectively for secondary use. In this research, to solve these problems, we first clarified the definition of privacy preservation and then propose TMfc-anonymity according to the definition.
AB - The recent emergence of smartphones, cloud computing, and the Internet of Things has brought about the explosion of data creation. By collating and merging these enormous data with other information, services that use information become more sophisticated and advanced. However, at the same time, the consideration of privacy violations caused by such merging is indispensable. Various anonymization methods have been proposed to preserve privacy. The conventional perturbation-based anonymization method of location data adds comparatively larger noise, and the larger noise makes it difficult to utilize the data effectively for secondary use. In this research, to solve these problems, we first clarified the definition of privacy preservation and then propose TMfc-anonymity according to the definition.
KW - Anonymization
KW - Pertur k-anonymity
KW - Pk-anonymity
KW - Privacy preservation
KW - TMk-anon
UR - http://www.scopus.com/inward/record.url?scp=85061527969&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061527969&partnerID=8YFLogxK
U2 - 10.1109/IECON.2018.8592838
DO - 10.1109/IECON.2018.8592838
M3 - Conference contribution
AN - SCOPUS:85061527969
T3 - Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
SP - 3138
EP - 3143
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 20 October 2018 through 23 October 2018
ER -