An Investigation into the Efficacy of Keystroke Analysis for Perimeter Defense and Facility Access

Leberknight, Christopher S.; Widmeyer, George R.; Recce, Michael

doi:10.1109/ths.2008.4534475

Cited by 11 publications

(8 citation statements)

References 13 publications

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“…This is the fundamental stage whereby raw keystroke data are collected via various input devices. These may consist of normal computer keyboard [ 20 – 22 ], customized pressure sensitive keyboard [ 21 , 23 ], virtual keyboard [ 24 ], special purpose num-pad [ 25 – 27 ], cellular phone [ 28 , 29 ], and smart phone [ 30 ].…”

Section: Keystroke Dynamicsmentioning

confidence: 99%

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A Survey of Keystroke Dynamics Biometrics

Teh

Teoh

Yue

2013

The Scientific World Journal

245

135

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Research on keystroke dynamics biometrics has been increasing, especially in the last decade. The main motivation behind this effort is due to the fact that keystroke dynamics biometrics is economical and can be easily integrated into the existing computer security systems with minimal alteration and user intervention. Numerous studies have been conducted in terms of data acquisition devices, feature representations, classification methods, experimental protocols, and evaluations. However, an up-to-date extensive survey and evaluation is not yet available. The objective of this paper is to provide an insightful survey and comparison on keystroke dynamics biometrics research performed throughout the last three decades, as well as offering suggestions and possible future research directions.

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Section: Keystroke Dynamicsmentioning

confidence: 99%

“…Leberknight et al [ 27 ] pointed out that leveraging the effects of soft and hard key presses was crucial yet challenging for tailored made pressure sensitive devices. Parasitic capacitive coupling that occurs in over sensitive devices might distort feature quality.…”

Section: Experimental Setup and Protocolmentioning

confidence: 99%

A Survey of Keystroke Dynamics Biometrics

Teh

Teoh

Yue

2013

The Scientific World Journal

245

135

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“…Mariusz et al [34] propose an approach to select the most interesting features and combine them to obtain viable indicator of user's identity. Christopher et al [35] used three stage software design process along with data capture device hardware together with pattern recognition techniques like Bayesian and Discrimination function for classification. They used keystroke pressure and duration as features.…”

Section: Features and Feature Extraction Methodsmentioning

confidence: 99%

“…Keystroke duration and force [35] Euclidean distance Three feature points like amplitude, 2nd derivative and area under each peak was used as features along with duration 21…”

Section: Methodsmentioning

confidence: 99%

Biometric personal authentication using keystroke dynamics: A review

Karnan¹,

Akila²,

Krishnaraj³

2011

Applied Soft Computing

205

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“…In addition, the keys should return as fast as possible after the press, ideally moving up with the finger that pressed the key, so the data recorded on the upstroke shows how the button was released, rather than how the button is returned to the resting position. The number pad should also contains analogue sensing elements; previous studies have used piezoelectric sensors [24], or force sensitive resistors [22,25] to measure the pressure of a button press. In this case study, we chose linear motion potentiometers mostly chosen for the ease of creating buttons.…”

Section: A Key Padmentioning

confidence: 99%

On the Design and Analysis of a Biometric Authentication System Using Keystroke Dynamics

Cockell

Halak

2020

Cryptography

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this paper proposes a portable hardware token for user's authentication; it is based on the use of keystroke dynamics to verify users biometrically. The proposed approach allows for a multifactor authentication scheme, in which a user cannot be granted access unless they provide a correct password on a hardware token and their biometric signature. The latter is extracted while the user is typing their password. This paper explains the design rationale of the proposed system and provides a comprehensive insight in the development of a hardware prototype of the same. The paper also presents a feasibility study that included a systematic analysis based on training data obtained from 32 users. Our results show that dynamic keystroke can be employed to construct a cost-efficient solution for biometric user authentication with an average error rate of 4.5%

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An Investigation into the Efficacy of Keystroke Analysis for Perimeter Defense and Facility Access

Cited by 11 publications

References 13 publications

A Survey of Keystroke Dynamics Biometrics

A Survey of Keystroke Dynamics Biometrics

Biometric personal authentication using keystroke dynamics: A review

On the Design and Analysis of a Biometric Authentication System Using Keystroke Dynamics

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