Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lisha SHUAI"'
Publikováno v:
IET Information Security, Vol 16, Iss 5, Pp 373-389 (2022)
Abstract The integration of the Mobile Crowdsensing (MCS) and Industrial Internet of Things (IIoT) brings enormous volumes of data that generate significant commercial value. However, the data contain a wealth of sensitive information about devices'
Externí odkaz:
https://doaj.org/article/09216911379449b39f5a90118e517962
Publikováno v:
Dianxin kexue, Vol 37, Pp 90-104 (2021)
The previous assured deletion schemes ignored that the privacy is threated by the relevance between data and user identity, exposing user behavior to the cloud service provider or attackers.Aiming at the above problems, an assured deletion approach b
Externí odkaz:
https://doaj.org/article/6fce637e39ca4542ab6ef6a54d062b40
Publikováno v:
IEEE Sensors Journal. 21:13628-13637
Crowdsensing enables extensive data collection for Location-Based Services (LBS). However, there is a large amount of sensitive private information within the sensing data of the user’s location. Hence, it will pose a huge threat to user’s privac
Publikováno v:
2021 7th International Conference on Computer and Communications (ICCC).
Publikováno v:
2021 7th International Conference on Computer and Communications (ICCC).
Publikováno v:
CSAI
As one of the national key infrastructures, the ubiquitous power Internet of Things (IoT) provides a convenient method for large-scale power information collection. The widespread transmission of massive power information using data mining techniques