Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fagen Song"'
Publikováno v:
IEEE Access, Vol 7, Pp 75434-75445 (2019)
A new k-anonymous method which is different from traditional k-anonymous was proposed to solve the problem of privacy protection. Specifically, numerical data achieves k-anonymous by adding noises, and categorical data achieves k-anonymous by using r
Externí odkaz:
https://doaj.org/article/d45f08ec62b84d44a764864769d97ff8
Autor:
Tinghuai Ma, Fagen Song
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 10, Iss 7, p 454 (2021)
With the popularity of location-aware devices (e.g., smart phones), a large number of trajectory data were collected. The trajectory dataset can be used in many fields including traffic monitoring, market analysis, city management, etc. The collectio
Externí odkaz:
https://doaj.org/article/5b77e290183948f18e48f38c72dc1e7f
Autor:
Fagen Song, Tinghuai Ma
Publikováno v:
Journal of Information Security and Applications. 65:103095
Autor:
Fagen Song, Tinghuai Ma
Publikováno v:
International Journal of Information and Computer Security. 15:216
Differential privacy can provide provable privacy security protection. In recent years, a great improvement has been made, however, in practical applications, the utility of original data is highly susceptible to noise, and thus, it limits its applic
Publikováno v:
2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.
In this paper, the authors put forward an efficient certificateless designated verifier signature scheme, in which only two pairing operations are needed in the signing and verification processes. Our scheme is one of schemes with the shortest signat
Publikováno v:
Future Communication, Computing, Control & Management (9783642273131); 2012, p581-587, 7p
Publikováno v:
2008 4th International Conference on Wireless Communications, Networking & Mobile Computing; 2008, p1-6, 6p