Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation
As the Internet of Things (IoT) continues to expand, billions of IoT devices are now connected to the internet, producing vast quantities of data. Collecting and sharing this data has become crucial to improving IoT technologies and developing new applications. However, the publication of privacy-pr...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Journal of Cybersecurity and Privacy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2624-800X/3/2/12 |
| _version_ | 1797594044423995392 |
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| author | Feng Wang Yongning Tang Hongbing Fang |
| author_facet | Feng Wang Yongning Tang Hongbing Fang |
| author_sort | Feng Wang |
| collection | DOAJ |
| description | As the Internet of Things (IoT) continues to expand, billions of IoT devices are now connected to the internet, producing vast quantities of data. Collecting and sharing this data has become crucial to improving IoT technologies and developing new applications. However, the publication of privacy-preserving IoT traffic data is exceedingly challenging due to the various privacy concerns surrounding users, IoT networks, and devices. In this paper, we propose a data transformation method aimed at safeguarding the privacy of IoT devices by transforming time series datasets. Based on our measurements, we have found that the transformed datasets retain the intrinsic value of the original IoT data and maintains data utility. This approach will enable non-expert data owners to better understand and evaluate the potential device-level privacy risks associated with their IoT data while simultaneously offering a reliable solution to mitigate their concerns about privacy violations. |
| first_indexed | 2024-03-11T02:18:05Z |
| format | Article |
| id | doaj.art-1fcd285fd6da4fc4b9160028b624aba1 |
| institution | Directory Open Access Journal |
| issn | 2624-800X |
| language | English |
| last_indexed | 2024-03-11T02:18:05Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Cybersecurity and Privacy |
| spelling | doaj.art-1fcd285fd6da4fc4b9160028b624aba12023-11-18T11:02:02ZengMDPI AGJournal of Cybersecurity and Privacy2624-800X2023-05-013220922610.3390/jcp3020012Mitigating IoT Privacy-Revealing Features by Time Series Data TransformationFeng Wang0Yongning Tang1Hongbing Fang2School of Engineering, Liberty University, Lynchburg, VA 24515, USASchool of Information Technology, Illinois State University, Normal, IL 61761, USASchool of Engineering, Liberty University, Lynchburg, VA 24515, USAAs the Internet of Things (IoT) continues to expand, billions of IoT devices are now connected to the internet, producing vast quantities of data. Collecting and sharing this data has become crucial to improving IoT technologies and developing new applications. However, the publication of privacy-preserving IoT traffic data is exceedingly challenging due to the various privacy concerns surrounding users, IoT networks, and devices. In this paper, we propose a data transformation method aimed at safeguarding the privacy of IoT devices by transforming time series datasets. Based on our measurements, we have found that the transformed datasets retain the intrinsic value of the original IoT data and maintains data utility. This approach will enable non-expert data owners to better understand and evaluate the potential device-level privacy risks associated with their IoT data while simultaneously offering a reliable solution to mitigate their concerns about privacy violations.https://www.mdpi.com/2624-800X/3/2/12IoTprivacy leakagetime seriestraffic patterndata utility |
| spellingShingle | Feng Wang Yongning Tang Hongbing Fang Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation Journal of Cybersecurity and Privacy IoT privacy leakage time series traffic pattern data utility |
| title | Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation |
| title_full | Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation |
| title_fullStr | Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation |
| title_full_unstemmed | Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation |
| title_short | Mitigating IoT Privacy-Revealing Features by Time Series Data Transformation |
| title_sort | mitigating iot privacy revealing features by time series data transformation |
| topic | IoT privacy leakage time series traffic pattern data utility |
| url | https://www.mdpi.com/2624-800X/3/2/12 |
| work_keys_str_mv | AT fengwang mitigatingiotprivacyrevealingfeaturesbytimeseriesdatatransformation AT yongningtang mitigatingiotprivacyrevealingfeaturesbytimeseriesdatatransformation AT hongbingfang mitigatingiotprivacyrevealingfeaturesbytimeseriesdatatransformation |