Biometric personal authentication using keystroke dynamics: A review

Karnan, M.; Akila, Maram; Krishnaraj, N.

doi:10.1016/j.asoc.2010.08.003

Cited by 204 publications

(100 citation statements)

References 51 publications

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“…Table 4 illustrates the differences of the used protocols in this research area for some major studies. The performance comparison of these methods is quite impossible, as stated in (Crawford, n.d.;Giot et al, 2009a;Karnan et al, 2011;Killourhy & Maxion, 2009), due to several reasons. First, most of these studies have used different protocols for their data acquisition, which is totally understandable due to the existence of different kinds of keystroke dynamics systems (static, continuous, dynamic) that require different acquisition protocols.…”

Section: Db 5 Fixed Textmentioning

confidence: 99%

“…By analysing the behavior of these measures comparing the recognition performance, they find that it is possible to improve performance by asking users to artificially add pauses (helped by cues for being synchronized) when typing the password. Karnan et al (2011) propose an interesting review of most of the keystroke dynamics recognition methods.…”

Section: Improving the Performancementioning

confidence: 99%

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Keystroke Dynamics Overview

Giot¹,

El-Abed²,

Rosenberger³

2011

Biometrics

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Section: Db 5 Fixed Textmentioning

confidence: 99%

Section: Improving the Performancementioning

confidence: 99%

Keystroke Dynamics Overview

Giot¹,

El-Abed²,

Rosenberger³

2011

Biometrics

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“…Various advantages have been offered by the keystroke behavior for verification purposes. It facilitates a cost effective, user friendly and continuous verification with a potential for high accuracy (Karnan, Akila, & Krishnaraj, 2011). However, some of the challenges facing keystroke dynamics authentication have been revealed in (Banerjee & Woodard, 2012).…”

Section: ) Hand Gesturesmentioning

confidence: 99%

Authentication systems: principles and threats

Abdulkader¹,

Atia²,

Mostafa³

2015

CIS

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Identity manipulation is considered a serious security issue that has been enlarged with the spread of automated systems that could be accessed either locally or remotely. Availability, integrity, and confidentiality represent the basic requirements that should be granted for successful authentication systems. Personality verification has taken multiple forms depending on different possession types. They are divided into knowledge based, token based, and biometric based authentication. The permanent ownership to the human being has increased the chances of deploying biometrics based authentication in highly secure systems. It includes capturing the biological traits, which are physiological or behavioral, extracting the important features and comparing them to the previously stored features that belong to the claimed user. Various kinds of attacks aim to take down the basic requirements at multiple points. This paper describes different types of authentication along with their vulnerable points and threatening attacks. Then it provides more details about the biometric system structure as well as examples of distinguishing biological characteristics, organized by their locations. It shows the performance results of various biometric systems along with the deployed algorithms for different components.

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“…In other words, biometric authentication is base on verifying personal attributes of users [11]. Furthermore, biometric authentication has some benefit as compared to other techniques [14].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Therefore, biometric authentication [11,13] is a strong authentication mechanism by providing the factor what we are and what we know [28]. In addition, it is able to identify users based on their unique characteristic [35], and it is more reliable, because it is so difficult for user to pretend as other user by using physical or behavioral biometric authentication.…”

Section: Introductionmentioning

confidence: 99%

Keystroke Dynamic Authentication in Mobile Cloud Computing

Babaeizadeh¹,

Bakhtiari²,

Maarof³

2014

IJCA

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One of the important challenges in Mobile Cloud Computing (MCC) is related to the authentication of users. There is increasing demand for suitable authentication method for accessing to the shared information via the Internet through Cloud Service Provider (CSP). Personal identification number is the most common mechanism for authentication in mobile devices; however it is not secure way for authenticating users. This work presents a method of authentication which able to identify users based on Keystroke Dynamic Authentication (KDA). Furthermore, keystrokes duration is considered as an attribute for measuring keystrokes of mobile's users. This paper proposed strong method of authentication in the password authentication scheme by combining it with keystroke authentication, which is a type of behavioral biometric mechanism. Experimental results show, the proposed method can work 97.014% correctly, due to the keystroke duration of each user depends on their behavioral characteristic and it can be measured up to milliseconds. On the other hand, if unauthorized person knows the username and password of legal user can not gain access rights because of difference between their keystroke duration. Therefore, it is hard for an attacker to pretend as an owner, and this method enhances the security of authentication in MCC

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Biometric personal authentication using keystroke dynamics: A review

Cited by 204 publications

References 51 publications

Keystroke Dynamics Overview

Keystroke Dynamics Overview

Authentication systems: principles and threats

Keystroke Dynamic Authentication in Mobile Cloud Computing

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