A Dynamic Access Control Scheme with Conditional Anonymity in Socio-Meteorological Observation

Socio-meteorological observation is an essential part of meteorological information construction, where unofficial organizations and individuals (volunteers) are employed to collect meteorological data. Thanks to the participation of social forces, the density and richness of meteorological data are improved significantly, and hence more economical and social benefits are brought. However, problems such as privacy leakage and data islands hamper the sustainable development of socio-meteorological observation. To solve the problems, we propose a dynamic access control scheme with conditional anonymity in socio-meteorological observation. In the proposed scheme, conditional anonymity of volunteers is supported. On the one hand, the real identity of each valid volunteer is private; On the other hand, the real identity of the malicious volunteers will be revealed if they attempt to inject erroneous meteorological data into the system. In addition, a lazy update mechanism is designed, where the fluidity of the volunteers and attribute revocation of the data users are fully considered. Finally, we compare the proposed scheme with similar schemes theoretically and experimentally.