APIS: Privacy-preserving incentive for sensing task allocation in cloud and edge-cooperation mobile Internet of Things with SDN

Q Xu, Z Su, M Dai, S Yu - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
The popularization of mobile devices connected to the network promotes the rise and
development of the emerging mobile Internet of Things (MIoT). Crowdsensing is a promising …

Dynamic social privacy protection based on graph mode partition in complex social network

G Qiuyang, N Qilian, M Xiangzhao, Y Zhijiao - Personal and Ubiquitous …, 2019 - Springer
Differential privacy protection model provides strict and quantitative risk representation for
privacy disclosure, which greatly ensures the availability of data. However, most existing …

Locally differentially private data collection and analysis

T Wang, J Zhao, X Yang, X Ren - arXiv preprint arXiv:1906.01777, 2019 - arxiv.org
Local differential privacy (LDP) can provide each user with strong privacy guarantees under
untrusted data curators while ensuring accurate statistics derived from privatized data. Due …

Node attributed query access algorithm based on improved personalized differential privacy protection in social network

X Yin, S Zhang, H Xu - International journal of wireless information …, 2019 - Springer
The existing differential privacy for social network graphs data published method is mainly
focused on graph synthesis. But the privacy budget is set by data owner without adequate …