Verifiable, Reliable, and Privacy-Preserving Data Aggregation in Fog-Assisted Mobile Crowdsensing.
Xingfu YanWing W. Y. NgBiao ZengChanglu LinYuxian LiuLu LuYing GaoPublished in: IEEE Internet Things J. (2021)
Keyphrases
- privacy preserving
- data aggregation
- wireless sensor networks
- sensor networks
- energy efficient
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- multi party
- data privacy
- mobile devices
- mobile phone
- preserving privacy
- privacy sensitive
- sensitive information
- private information
- scalar product
- horizontally partitioned data
- context aware
- privacy protection
- private data
- privacy preserving association rule mining
- partitioned data
- secure multiparty computation
- differential privacy
- mobile users
- mobile networks
- mobile environments
- privacy concerns
- mobile applications
- cost effective
- energy efficiency
- privacy requirements
- sensor nodes
- routing protocol
- mobile computing
- energy consumption