Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81062
Title: Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information
Authors: Jiang, Shiqi
Zhou, Pengfei
Li, Mo
Keywords: Computer Science and Engineering
Issue Date: 2015
Source: 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-.
Series/Report no.: International Journal of Distributed Sensor Networks
Abstract: 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.
URI: https://hdl.handle.net/10356/81062
http://hdl.handle.net/10220/39075
ISSN: 1550-1329
DOI: 10.1155/2015/135150
Schools: School of Computer Engineering 
Rights: © 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.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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