TreasurePhone: Context-Sensitive User Data Protection on Mobile Phones

Seifert, Julian; Luca, Alexander De; Conradi, Bettina; Hußmann, Heinrich

doi:10.1007/978-3-642-12654-3_8

Cited by 33 publications

(10 citation statements)

References 4 publications

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“…Smartphones are often used in public spaces, such as malls, universities, or busses, where the user's interaction with the phone can be easily observed by others [46]. High resolution or "retina" displays not only make screen content more easily readable by the user but also by observers.…”

Section: Context Of Usementioning

confidence: 99%

Exploring the design space of graphical passwords on smartphones

Schaub

Walch

Könings

et al. 2013

Proceedings of the Ninth Symposium on Usable Privacy and Security

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Smartphones have emerged as a likely application area for graphical passwords, because they are easier to input on touchscreens than text passwords. Extensive research on graphical passwords and the capabilities of modern smartphones result in a complex design space for graphical password schemes on smartphones. We analyze and describe this design space in detail. In the process, we identify and highlight interrelations between usability and security characteristics, available design features, and smartphone capabilities. We further show the expressiveness and utility of the design space in the development of graphical passwords schemes by implementing five different existing graphical password schemes on one smartphone platform. We performed usability and shoulder surfing experiments with the implemented schemes to validate identified relations in the design space. From our results, we derive a number of helpful insights and guidelines for the design of graphical passwords.

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Section: Context Of Usementioning

confidence: 99%

Exploring the design space of graphical passwords on smartphones

Schaub

Walch

Könings

et al. 2013

Proceedings of the Ninth Symposium on Usable Privacy and Security

View full text Add to dashboard Cite

show abstract

“…For implicit authentication on smartphones, various behavior-based classifiers have been proposed that employ a user's location patterns [9,10,11], call/text patterns [8], keystroke patterns [14], proximity to known devices [7], gait patterns [12], and touchscreen input behavior [3,4,5]. Furthermore, some approaches have proposed to combine behavior-based classifiers and contextual information from multiple sources [7,8,15] to implicitly authenticate a user.…”

Section: Related Workmentioning

confidence: 99%

Towards application-centric implicit authentication on smartphones

Khan

Hengartner

2014

Proceedings of the 15th Workshop on Mobile Computing Systems and Applications

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Implicit authentication schemes are a secondary authentication mechanism that provides authentication by employing unique patterns of device use that are gathered from smartphone users without requiring deliberate actions. Contemporary implicit authentication schemes operate at the device level such that they neither discriminate between data from different applications nor make any assumption about the nature of the application that the user is currently using. In this paper, we challenge the device-centric approach to implicit authentication on smartphones. We argue that the conventional approach of misuse detection at the device level has inherent limitations for mobile platforms. To this end, we analyze and empirically evaluate the devicecentric nature of implicit authentication schemes to show their limitations in terms of detection accuracy, authentication overhead, and fine grained authentication control. To mitigate these limitations and for effective and pragmatic implicit authentication on the mobile platform, we propose a novel application-centric implicit authentication approach. We observe that for implicit authentication, an application knows best on when to authenticate and how to authenticate. Therefore, we delegate the implicit authentication task to the application and let the application provider decide when and how to authenticate a user in order to protect the owner's personal information. Our proposed applicationcentric implicit authentication approach improves accuracy and provides fine grained authentication control with low authentication overhead. Future research in this domain will benefit from our findings to provide pragmatic implicit authentication solutions.

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“…Sarjakoski and Nivala [26] proposed to embody various factors related to mobile navigation context in addition to location, such as time, purpose of use, physical surroundings, navigation history, user/cultural/social elements. Seifert et al have designed -TreasurePhone‖ to vary the access to privacy data base on contextual information like current locations and actions performed [27]. To overcome the noise at a single data collection in mobile context, Malik et al suggest using historical data as an estimation of users' preference to help predict the future action and provide services correspondingly [28].…”

Section: Visual Analytics In Mobile Contextmentioning

confidence: 99%

An interactive sensemaking framework for mobile visual analytics

Zhang

Cai

2010

Proceedings of the 3rd International Symposium on Visual Information Communication

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Increasing mobility for modern life requires people to access information and make decisions -on the go‖. Mobil applications place special constraints that challenge the existing ways of visual analytic design where relatively stable and interaction-rich contexts are assumed. In tasks like learning unfamiliar places, current visualizations on mobile devices are not capable of helping users to form a good cognitive map of the environment. How can we take advantage of rich physical environmental cues and supplement with computational power to help people make sense of the environment? In this paper, we present a framework of sensemaking to model how people get insight into the environment as they navigate around. Based on this framework, we present design guidelines for mobile visual analytics that could enhance the spatial awareness of the navigator and analyze several existing designs through the discussion.

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TreasurePhone: Context-Sensitive User Data Protection on Mobile Phones

Cited by 33 publications

References 4 publications

Exploring the design space of graphical passwords on smartphones

Exploring the design space of graphical passwords on smartphones

Towards application-centric implicit authentication on smartphones

An interactive sensemaking framework for mobile visual analytics

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