Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information
With the wide development of smartphones, mobile data usage has enjoyed rapid growth in recent years. Unfortunately many users are plagued with Phantom Data Usage (PDU), which refers to the unexpected mobile data usage that does not accord with user perception. We investigate about 400 real PDU issu...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/81062 http://hdl.handle.net/10220/39075 |
| _version_ | 1824457037540491264 |
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| author | Jiang, Shiqi Zhou, Pengfei Li, Mo |
| author2 | School of Computer Engineering |
| author_facet | School of Computer Engineering Jiang, Shiqi Zhou, Pengfei Li, Mo |
| author_sort | Jiang, Shiqi |
| collection | NTU |
| description | With the wide development of smartphones, mobile data usage has enjoyed rapid growth in recent years. Unfortunately many users are plagued with Phantom Data Usage (PDU), which refers to the unexpected mobile data usage that does not accord with user perception. We investigate about 400 real PDU issues and find the causes of PDU are not only the exceptions of applications, for example, software bugs or malware, but also the user’s personalized misuse. Based on the observations that each user preserves specific data usage patterns under particular environmental context, we present PDS, a PDU detection system, which automatically detects whether the current data usage is consumed as expected. Results from our evaluation experiments show that 72% of PDU cases detected by PDS are confirmed by users. |
| first_indexed | 2025-02-19T04:03:38Z |
| format | Journal Article |
| id | ntu-10356/81062 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T04:03:38Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | ntu-10356/810622020-05-28T07:17:30Z Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information Jiang, Shiqi Zhou, Pengfei Li, Mo School of Computer Engineering Computer Science and Engineering With the wide development of smartphones, mobile data usage has enjoyed rapid growth in recent years. Unfortunately many users are plagued with Phantom Data Usage (PDU), which refers to the unexpected mobile data usage that does not accord with user perception. We investigate about 400 real PDU issues and find the causes of PDU are not only the exceptions of applications, for example, software bugs or malware, but also the user’s personalized misuse. Based on the observations that each user preserves specific data usage patterns under particular environmental context, we present PDS, a PDU detection system, which automatically detects whether the current data usage is consumed as expected. Results from our evaluation experiments show that 72% of PDU cases detected by PDS are confirmed by users. MOE (Min. of Education, S’pore) Published version 2015-12-14T03:06:45Z 2019-12-06T14:20:36Z 2015-12-14T03:06:45Z 2019-12-06T14:20:36Z 2015 Journal Article Jiang, S., Zhou, P., & Li, M. (2015). Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information. International Journal of Distributed Sensor Networks, 2015, 135150-. 1550-1329 https://hdl.handle.net/10356/81062 http://hdl.handle.net/10220/39075 10.1155/2015/135150 en International Journal of Distributed Sensor Networks © 2015 Shiqi Jiang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 10 p. application/pdf |
| spellingShingle | Computer Science and Engineering Jiang, Shiqi Zhou, Pengfei Li, Mo Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information |
| title | Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information |
| title_full | Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information |
| title_fullStr | Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information |
| title_full_unstemmed | Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information |
| title_short | Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information |
| title_sort | detecting phantom data usage on smartphones with analysis of contextual information |
| topic | Computer Science and Engineering |
| url | https://hdl.handle.net/10356/81062 http://hdl.handle.net/10220/39075 |
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