
doi: 10.1109/aina.2016.55
Recently, some commercial websites collect browsing history and device information for use in services they provide. In this paper, we focused on font information that can be obtained via a web browser to determine what kind of software can be identified about a given device. According to existing research, it is possible to identify installed applications such as the Adobe Flash Player and Microsoft Office using such font information. Thus, we have examined the fonts installed by operating systems (OS) and applications. Our results show that font information on a device can be used to identify installed applications and OS type and version.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
