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Privacy-Preservation Using Group Signature for Incentive Mechanisms in Mobile Crowd Sensing
Kim, Mihui,Park, Younghee,Dighe, Pankaj Balasaheb Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.5
Recently, concomitant with a surge in numbers of Internet of Things (IoT) devices with various sensors, mobile crowdsensing (MCS) has provided a new business model for IoT. For example, a person can share road traffic pictures taken with their smartphone via a cloud computing system and the MCS data can provide benefits to other consumers. In this service model, to encourage people to actively engage in sensing activities and to voluntarily share their sensing data, providing appropriate incentives is very important. However, the sensing data from personal devices can be sensitive to privacy, and thus the privacy issue can suppress data sharing. Therefore, the development of an appropriate privacy protection system is essential for successful MCS. In this study, we address this problem due to the conflicting objectives of privacy preservation and incentive payment. We propose a privacy-preserving mechanism that protects identity and location privacy of sensing users through an on-demand incentive payment and group signatures methods. Subsequently, we apply the proposed mechanism to one example of MCS-an intelligent parking system-and demonstrate the feasibility and efficiency of our mechanism through emulation.
Privacy-Preservation Using Group Signature for Incentive Mechanisms in Mobile Crowd Sensing
김미희,박영희,Pankaj Balasaheb Dighe 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.5
Recently, concomitant with a surge in numbers of Internet of Things (IoT) devices with various sensors, mobilecrowdsensing (MCS) has provided a new business model for IoT. For example, a person can share road trafficpictures taken with their smartphone via a cloud computing system and the MCS data can provide benefits toother consumers. In this service model, to encourage people to actively engage in sensing activities and tovoluntarily share their sensing data, providing appropriate incentives is very important. However, the sensingdata from personal devices can be sensitive to privacy, and thus the privacy issue can suppress data sharing. Therefore, the development of an appropriate privacy protection system is essential for successful MCS. In thisstudy, we address this problem due to the conflicting objectives of privacy preservation and incentive payment. We propose a privacy-preserving mechanism that protects identity and location privacy of sensing usersthrough an on-demand incentive payment and group signatures methods. Subsequently, we apply the proposedmechanism to one example of MCS—an intelligent parking system—and demonstrate the feasibility andefficiency of our mechanism through emulation.
BEHERE, ADITI S.,DIGHE, ABHIJIT S.,BOSALE, SURESH B.,RANADE, DILIP R. 한국미생물 · 생명공학회 2002 Journal of microbiology and biotechnology Vol.12 No.1
Two different extracellular lipases were produced by an anaerobic bacterium, Selenomonas lipolytica. A major lipase, lipase I, was isolated, which showed optimum activity at pH 6.0 and at 45℃. It showed a molecular weight of 240 kDa and was a tetramer of a subunit having molecular weight of 60 kDa, which is different from the known bacterial lipases.