Design of touch dynamics based user authentication with an adaptive mechanism on mobile phones

Meng, Weizhi; Wong, Duncan S.; Kwok, Lam For

doi:10.1145/2554850.2554931

Cited by 29 publications

(17 citation statements)

References 21 publications

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“…However, in certain situations, this approach may not be practical. For example, the data acquisition experiments conducted by (Draffin et al, 2014;Y. Meng et al, 2014;Meng et al, 2013) were aimed at acquiring all the touch dynamics data over an entire interaction session with a device.…”

Section: Fig 8 the Numbers Of Publications On Reporting The Degree mentioning

confidence: 99%

“…Most experiments recruited less than 50 subjects (Buschek et al, 2015;Kambourakis et al, 2014;Y. Meng et al, 2014), with some less than 5 subjects (Nixon et al, 2014;Rao et al, 2014).…”

Section: Subject Sizementioning

confidence: 99%

“…within a research institute) (Alotaibi et al, 2014;Giuffrida et al, 2014;Samura et al, 2014), or (iii) with a specific profession (i.e. students) (Draffin et al, 2014;Y. Meng et al, 2014;Meng et al, 2013).…”

Section: Subject Demographymentioning

confidence: 99%

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A survey on touch dynamics authentication in mobile devices

Teh

Zhang

Teoh

et al. 2016

Computers & Security

130

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There have been research activities in the area of keystroke dynamics biometrics on physical keyboards (desktop computers or conventional mobile phones) undertaken in the past three decades. However, in terms of touch dynamics biometrics on virtual keyboards (modern touchscreen mobile devices), there has been little published work. Particularly, there is a lack of an extensive survey and evaluation of the methodologies adopted in the area. Owing to the widespread use of touchscreen mobile devices, it is necessary for us to examine the techniques and their effectiveness in the domain of touch dynamics biometrics. The aim of this paper is to provide some insights and comparative analysis of the current state-of-the-art in the topic area, including data acquisition protocols, feature data representations, decision making techniques, as well as experimental settings and evaluations. With such a survey, we can gain a better understanding of the current state-of-the-art, thus identifying challenging issues and knowledge gaps for further research.

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Section: Fig 8 the Numbers Of Publications On Reporting The Degree mentioning

confidence: 99%

“…Most experiments recruited less than 50 subjects (Buschek et al, 2015;Kambourakis et al, 2014;Y. Meng et al, 2014), with some less than 5 subjects (Nixon et al, 2014;Rao et al, 2014).…”

Section: Subject Sizementioning

confidence: 99%

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A survey on touch dynamics authentication in mobile devices

Teh

Zhang

Teoh

et al. 2016

Computers & Security

130

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“…Meng et al [89] implemented a lightweight approach, which used 8 touch gestures in order to decrease the time needed for processing data. These gestures were based on a number of touch movements, single and multiple touches and have different speeds, durations and pressures.…”

Section: ) Lightweight Touch Dynamics Approachmentioning

confidence: 99%

Authentication of Smartphone Users Using Behavioral Biometrics

Alzubaidi

Kalita

2016

IEEE Commun. Surv. Tutorials

168

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Smartphones and tablets have become ubiquitous in our daily lives. Smartphones, in particular, have become more than personal assistants. These devices have provided new avenues for consumers to play, work and socialize whenever and wherever they want. Smartphones are small in size; so they are easy to handle and to stow and carry in users' pockets or purses. However, mobile devices are also susceptible to various problems. One of the greatest concerns is the possibility of breach in security and privacy if the device is seized by an outside party. It is possible that threats can come from friends as well as strangers. Due to the size of smart devices, they can be easily lost and may expose details of users' private lives. In addition, this might enable pervasive observation or imitation of one's movements and activities, such as sending messages to contacts, accessing private communication, shopping with a credit card, and relaying information about where one has been. This paper highlights the potential risks that occur when smartphones are stolen or seized, discusses the concept of continuous authentication, and analyzes current approaches and mechanisms of behavioral biometrics with respect to methodology, associated datasets and evaluation approaches.

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“…smart phone or tablet) is generally implemented as a one-time proof of identity during the initial log on procedure [4,5,11]. The validity of the user is assumed to be the same during the full session.…”

Section: Introductionmentioning

confidence: 99%

Swipe gesture based Continuous Authentication for mobile devices

Mondal

Bours

2015

2015 International Conference on Biometrics (ICB)

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In this research, we investigated the performance of a continuous biometric authentication system for mobile devices under various different analysis techniques. We tested these on a publicly available swipe gestures database with 71 users, but the techniques can also be applied to other biometric modalities in a continuous setting. The best result obtained in this research is that (1) none of the 71 genuine users is lockout from the system; (2) for 68 users we require on average 4 swipe gestures to detect an imposter; (3) for the remaining 3 genuine users, on average 14 swipes are required while 4 impostors are not detected.

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Design of touch dynamics based user authentication with an adaptive mechanism on mobile phones

Cited by 29 publications

References 21 publications

A survey on touch dynamics authentication in mobile devices

A survey on touch dynamics authentication in mobile devices

Authentication of Smartphone Users Using Behavioral Biometrics

Swipe gesture based Continuous Authentication for mobile devices

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