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.
Highlights
Nowadays smartphones serve as phones and the primary social communication and entertainment tools involving the email services, SNS, mobile games, and so forth
TP stands for the case which is detected as Phantom Data Usage (PDU) by Phantom Detection System (PDS) and confirmed by users
FN shows the PDU case which is not detected by PDS but is labeled as PDU by users among all the reported cases
Summary
Nowadays smartphones serve as phones and the primary social communication and entertainment tools involving the email services, SNS, mobile games, and so forth. PDS records the detailed data usage information of each application, the user context information (e.g., movements, time, and locations), and relevant system events. By analyzing such information, PDS detects whether the current data usage accords with users’ usage habits. PDS profiles the data usage in different circumstances It compares the current traffic with that in the most similar circumstance to dig out PDU. To make it practical, PDS meets several criteria including low monitoring overhead, high detection accuracy, and flexibility to different applications and users.
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