A roadmap to continuous biometric authentication on mobile devices

Rybnicek, Marlies; Lang-Muhr, Christoph; Haslinger, Daniel

doi:10.1109/iwcmc.2014.6906343

Cited by 11 publications

(8 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…when performing a task at hand or doing a job in a controlled environment. The authors in (Rybnicek et al, 2014) suggested that experimental results obtained under a controlled environment are over optimistic compared to those acquired in uncontrolled environments.…”

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

confidence: 99%

A survey on touch dynamics authentication in mobile devices

Teh

Zhang

Teoh

et al. 2016

Computers & Security

128

View full text Add to dashboard Cite

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.

show abstract

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

confidence: 99%

A survey on touch dynamics authentication in mobile devices

Teh

Zhang

Teoh

et al. 2016

Computers & Security

128

View full text Add to dashboard Cite

show abstract

“…Keystroke dynamics is a behavioral modality that presents the favor of being non intrusive, inexpensive and weakly constrained for the user [5,14,15]. The 50 major drawback of this modality is that it suffers from large intra-class variation [7,8] due to aging problems.…”

Section: Related Workmentioning

confidence: 99%

“…Nowadays, biometric systems are widely used for numerous applications [1] like physical access control, electronic payment, etc given the increasing need to solve their security issues [2, 3,4]. In this paper, we propose a more reliable authentication approach based on the investigation of the user's keystroke 5 dynamics. Indeed, keystroke dynamics analyses the rhythm a person exhibits while typing on a keyboard [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we propose a more reliable authentication approach based on the investigation of the user's keystroke 5 dynamics. Indeed, keystroke dynamics analyses the rhythm a person exhibits while typing on a keyboard [5,6]. Hence, keystroke dynamics is considered as a behavioral biometric modality, like signature dynamics, gait and voice.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Doddington zoo classification for user dependent template update: Application to keystroke dynamics recognition

Mhenni

Cherrier

Rosenberger

et al. 2019

Future Generation Computer Systems

View full text Add to dashboard Cite

“…), the face and the iris modalities that are used based on video cameras on mobile devices [4]. Keystroke dynamics is a behavioral modality non intusive, inexpensive and weakly constrained for the user [5], [6]. It consists in combining the verification of the syntactic password accuracy with the confirmity of the typing manner of the user which is usually described with latencies latencies [7].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Biometric Strategy using Doddington Zoo Classification of User’s Keystroke Dynamics

Mhenni¹,

Cherrier²,

Rosenberger³

et al. 2018

2018 14th International Wireless Communications &Amp; Mobile Computing Conference (IWCMC)

View full text Add to dashboard Cite

Securing personal, professional and even official data is a very critical issue nowadays, giving that these informations are safeguarded in different devices (mobile, computer) and various accounts (social networks, e-mails). To protect them from unauthorized acess, users generally are asked to use passwords. But using only these authentication solutions is no longer efficient against hacker attacks. Keystroke dynamics is a biometric promising modality that guarantees the recognition of the user's characteristics; his typing manner on the keyboard. Regarding that the typing rythm of the user changes over time, adaptive biometric solutions help to take into consideration these variations. In this paper we classify user into multiple categories according to Doddonghton Zoo classification. Afterwards, we apply an adaptive strategy specific to each category of users. The achived experiments demonstrate that an update strategy specific to the user class has improved significantly the obtained performances.

show abstract

A roadmap to continuous biometric authentication on mobile devices

Cited by 11 publications

References 22 publications

A survey on touch dynamics authentication in mobile devices

A survey on touch dynamics authentication in mobile devices

Analysis of Doddington zoo classification for user dependent template update: Application to keystroke dynamics recognition

Adaptive Biometric Strategy using Doddington Zoo Classification of User’s Keystroke Dynamics

Contact Info

Product

Resources

About