Anonymous authentication of visitors for mobile crowd sensing at amusement parks

• Main Authors: KONIDALA, Divyan, DENG, Robert H., LI, Yingjiu, LAU, Hoong Chuin, FIENBERG, Stephen
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Mobile crowd sensing; Amusement park; Anonymous authentication; False data; Partially blind signature scheme; Artificial Intelligence and Robotics; Information Security; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/1946; https://ink.library.smu.edu.sg/context/sis_research/article/2945/viewcontent/AnonAuthVisitorsMobCrowdSensingAmusmentParks_2013_Inspec_afv.pdf
• Institution: Singapore Management University

In this paper we focus on authentication and privacy aspects of an application scenario that utilizes mobile crowd sensing for the benefit of amusement park operators and their visitors. The scenario involves a mobile app that gathers visitors’ demographic details, preferences, and current location...