Deterring password sharing:user authentication via fuzzy c-means clustering applied to keystroke biometric data

Mandujano, Salvador; Soto, Rogelio

doi:10.1109/enc.2004.1342604

Cited by 19 publications

(19 citation statements)

References 5 publications

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“…Fuzzy c-Means clustering [71] Provides additional flexibility regarding membership and removes ambiguity like whether a point belongs to the cluster or not 8…”

Section: Other Approachesmentioning

confidence: 99%

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Biometric personal authentication using keystroke dynamics: A review

Karnan¹,

Akila²,

Krishnaraj³

2011

Applied Soft Computing

199

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“…Fuzzy c-Means clustering [71] Provides additional flexibility regarding membership and removes ambiguity like whether a point belongs to the cluster or not 8…”

Section: Other Approachesmentioning

confidence: 99%

“…It gives a score based on the algorithm specified using a simple global alignment technique. In [71], Direction similarity measure and Gaussian probability density function [67] A weighted sum rule is applied by fusing the Gaussian scores and the DSM to enhance the final result with an EER of 9.96% 4…”

Section: Other Approachesmentioning

confidence: 99%

Biometric personal authentication using keystroke dynamics: A review

Karnan¹,

Akila²,

Krishnaraj³

2011

Applied Soft Computing

199

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“…The handwritten signature has its parallel on the keyboard in that the same neuro-physiological factors that account for its uniqueness are also presents in a typing pattern as detected in the keystroke latencies between two consecutive keystrokes. The typing patterns of a person using a computer keyboard is a distinctive feature that, even when it is not as precise as others in terms of entropy and classification power [10], has the advantage of not requiring costly equipment and software to be implemented. From the measured features, the dwell time and flight times are extracted to a form a pattern used to represent a computer user.…”

Section: Introductionmentioning

confidence: 99%

Investigating & Improving The Reliability And Repeatability Of Keystorke Dynamics Timers

Pavaday¹,

Sunjiv²,

Shrikaant³

2010

IJNSA

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One of the most challenging tasks facing the security expert remains the correct authentication of human being which has been crucial to the fabric of our society. The emphasis is now on reliable person identification for computerized devices as the latter forms an integral part of our daily activities. Moreover with increasing geographical mobility of individuals, the identification problem has become more acute. One alternative, to curb down the increasing number of computer related crimes, is through the use of keystroke biometric technology which represents an enhancement to password mechanisms by incorporating typing rhythms in it.Time captured being critical to the performance of the identifier, it is primordial that it satisfies certain requirements at a suitable degree of acceptability This paper presents an evaluation of timing options for keystroke dynamics paying attention to their repeatability and reliability as well as their portability on different systems. In actual passwords schemes users enroll using one computer and access resources using other configurations at different locations without bothering about the different underlying operating systems.

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“…For example, it has been observed that web sites of related activism groups are linked to each other through hyperlinks, creating their own community network [6]. A good research framework would include an effective method to identify such networks and the roles of the web sites in the networks.…”

Section: Introductionmentioning

confidence: 99%

“…Later Araujo, et al [4] proposed a thorough study of recognition system by introducing biometrics characteristics. Some study improved the recognition rate by increasing the computation complexity [5][6][7][8]. Furthermore, the massive use of mobile devices in recent years demands simpler methods with similar level of security, which poses challenge in tradeoff for advance methods.…”

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confidence: 99%