Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture (Record no. 648)

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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260901030333.0
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fixed length control field 250101s2020 xx o 000 0 eng d
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mengmeng Yang
245 10 - TITLE STATEMENT
Title Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer arXiv
Date of production, publication, distribution, manufacture, or copyright notice 2020
336 ## - CONTENT TYPE
Content type term text
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Carrier type term online resource
520 ## - SUMMARY, ETC.
Summary, etc. Crowdsourcing plays an essential role in the Internet of Things (IoT) for data collection, where a group of workers is equipped with Internet-connected geolocated devices to collect sensor data for marketing or research purpose. In this paper, we consider crowdsourcing these worker's hot travel path. Each worker is required to report his real-time location information, which is sensitive and has to be protected. Encryption-based methods are the most direct way to protect the location, but not suitable for resource-limited devices. Besides, local differential privacy is a strong privacy concept and has been deployed in many software systems. However, the local differential privacy technology needs a large number of participants to ensure the accuracy of the estimation, which is not always the case for crowdsourcing. To solve this problem, we proposed a trie-based iterative statistic metho
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open access — freely available to read.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://arxiv.org/pdf/2012.13807v1">https://arxiv.org/pdf/2012.13807v1</a>
Link text Read the full paper (PDF)
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      Available online Cybersecurity Yegates University Library Yegates University Library Science and Computing 09/01/2026   YGE000909 09/01/2026 https://arxiv.org/pdf/2012.13807v1 09/01/2026 Research paper — read online