Secure Hot Path Crowdsourcing with Local Differential Privacy under Fog Computing Architecture (Record no. 648)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01428nam a2200169 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260901030333.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| 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 |
| 338 ## - CARRIER TYPE | |
| 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) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Electronic resource (link) |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Total checkouts | Barcode | Date last seen | Uniform resource identifier | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |