Name
Abstract | ||
|---|---|---|
Different aspects of usage of electronic devices significantly vary person to person, and therefore, rigorous usage analysis exhibits its prospect in identifying a user in road to secure the devices. Different state-of-the-art approaches have investigated different aspects of the usage, such as typing speed and dwelling time, in isolation for identifying a user. However, investigation of multiple aspects of the usage in combination is yet to be focused in the literature. Therefore, this paper, we investigate multiple aspects of usage in combination to identify a user. We perform the investigation over real users through letting them interact with an Android application, which we develop specifically for the investigation. Our investigation reveals a key finding considering multiple aspects of usage in combination provides improved performance in identifying a user. We get this improved performance up to a certain number of aspects of usage being considered in the identification task. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/NSysS.2015.7043518 | NSysS |
Keywords | Field | DocType |
android (operating system),authorisation,graphical user interfaces,android application,device security,dwelling time,electronic device usage analysis,performance improvement,typing speed,user identification task,security,measurement,pressing,clustering algorithms | World Wide Web,Usage analysis,Android (operating system),Computer science,Electronics,Human–computer interaction,Cluster analysis | Conference |
Citations | PageRank | References |
0 | 0.34 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| shamir ahmed | 1 | 0 | 1.01 |
| adib rizvi | 2 | 0 | 0.34 |
| rifat sabbir mansur | 3 | 0 | 0.34 |
| md rafatul amin | 4 | 0 | 0.34 |
| A. B. M. Alim Al Islam | 5 | 72 | 27.82 |