An efficient anonymous reputation system for crowd sensing

Recently, crowd sensing has been intensively researched, due to the rapid growth of sensor-integrated mobile devices. Crowd sensing is a participatory sensing service where a server gathers and analyzes sensing data submitted from mobile devices of lots of users. In crowd sensing, the user's an...

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Main Authors: Shahidatul Sadiah, Shahidatul Sadiah, Nakanishi, Toru
Format: Conference or Workshop Item
Published: Information Processing Society of Japan 2022
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Online Access:http://eprints.utm.my/id/eprint/99465/
http://dx.doi.org/10.1109/CANDARW.2019.00071
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spelling my.utm.994652023-02-27T06:55:19Z http://eprints.utm.my/id/eprint/99465/ An efficient anonymous reputation system for crowd sensing Shahidatul Sadiah, Shahidatul Sadiah Nakanishi, Toru TK Electrical engineering. Electronics Nuclear engineering Recently, crowd sensing has been intensively researched, due to the rapid growth of sensor-integrated mobile devices. Crowd sensing is a participatory sensing service where a server gathers and analyzes sensing data submitted from mobile devices of lots of users. In crowd sensing, the user's anonymity is desired, since the server gathers sensitive data from the participants including their GPS locations and moving path. However, the anonymous data submission may compromise the trust of the sensing data, because anonymous users may submit inappropriate sensing data, but they cannot be traced. Therefore, as the system to achieve both anonymity and trust in crowd sensing, ARTSense has been proposed. In the system, the trust of the sensing data is assessed on the sensed environment, other users' sensing, and the reputation of the user, and furthermore the reputation of the user is anonymously managed on the feedback from the trust assessment for the data. However, the anonymous reputation system of ARTSense has the efficiency problem, i.e., the user needs to wait a random time after the data submission phase before requesting the reputation update, which causes the communication delay. In this paper, we propose an efficient anonymous reputation system for crowd sensing, which can be integrated to the trust assessment in ARTSense. In the proposed system, during the data submission, the reputation update is anonymously completed. This is because the server does not manage the reputation of each user, but each user manages his/her reputation in the user side, where the the validity of the reputation is ensured by a certificate and anonymously checked by zero-knowledge proofs. Therefore, the proposed system achieves the better efficiency with no delay. Information Processing Society of Japan 2022 Conference or Workshop Item PeerReviewed Shahidatul Sadiah, Shahidatul Sadiah and Nakanishi, Toru (2022) An efficient anonymous reputation system for crowd sensing. In: 7th International Symposium on Computing and Networking Workshops, CANDARW 2019, 26 - 29 November 2019, Nagasaki, Japan. http://dx.doi.org/10.1109/CANDARW.2019.00071 DOI : 10.1109/CANDARW.2019.00071
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Shahidatul Sadiah, Shahidatul Sadiah
Nakanishi, Toru
An efficient anonymous reputation system for crowd sensing
description Recently, crowd sensing has been intensively researched, due to the rapid growth of sensor-integrated mobile devices. Crowd sensing is a participatory sensing service where a server gathers and analyzes sensing data submitted from mobile devices of lots of users. In crowd sensing, the user's anonymity is desired, since the server gathers sensitive data from the participants including their GPS locations and moving path. However, the anonymous data submission may compromise the trust of the sensing data, because anonymous users may submit inappropriate sensing data, but they cannot be traced. Therefore, as the system to achieve both anonymity and trust in crowd sensing, ARTSense has been proposed. In the system, the trust of the sensing data is assessed on the sensed environment, other users' sensing, and the reputation of the user, and furthermore the reputation of the user is anonymously managed on the feedback from the trust assessment for the data. However, the anonymous reputation system of ARTSense has the efficiency problem, i.e., the user needs to wait a random time after the data submission phase before requesting the reputation update, which causes the communication delay. In this paper, we propose an efficient anonymous reputation system for crowd sensing, which can be integrated to the trust assessment in ARTSense. In the proposed system, during the data submission, the reputation update is anonymously completed. This is because the server does not manage the reputation of each user, but each user manages his/her reputation in the user side, where the the validity of the reputation is ensured by a certificate and anonymously checked by zero-knowledge proofs. Therefore, the proposed system achieves the better efficiency with no delay.
format Conference or Workshop Item
author Shahidatul Sadiah, Shahidatul Sadiah
Nakanishi, Toru
author_facet Shahidatul Sadiah, Shahidatul Sadiah
Nakanishi, Toru
author_sort Shahidatul Sadiah, Shahidatul Sadiah
title An efficient anonymous reputation system for crowd sensing
title_short An efficient anonymous reputation system for crowd sensing
title_full An efficient anonymous reputation system for crowd sensing
title_fullStr An efficient anonymous reputation system for crowd sensing
title_full_unstemmed An efficient anonymous reputation system for crowd sensing
title_sort efficient anonymous reputation system for crowd sensing
publisher Information Processing Society of Japan
publishDate 2022
url http://eprints.utm.my/id/eprint/99465/
http://dx.doi.org/10.1109/CANDARW.2019.00071
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score 13.160551