IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v11y2015i11p135150.html
   My bibliography  Save this article

Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information

Author

Listed:
  • Shiqi Jiang
  • Pengfei Zhou
  • Mo Li

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.

Suggested Citation

  • Shiqi Jiang & Pengfei Zhou & Mo Li, 2015. "Detecting Phantom Data Usage on Smartphones with Analysis of Contextual Information," International Journal of Distributed Sensor Networks, , vol. 11(11), pages 135150-1351, November.
    • Handle: RePEc:sae:intdis:v:11:y:2015:i:11:p:135150
    DOI: 10.1155/2015/135150
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1155/2015/135150
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/135150?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:11:y:2015:i:11:p:135150. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.