Leveraging Variations in Event Sequences in Keystroke-Dynamics Authentication Systems

Syed, Zahid; Banerjee, Sean; Čukić, Bojan

doi:10.1109/hase.2014.11

Cited by 14 publications

(12 citation statements)

References 13 publications

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“…If the imposter wants to break a system, his choice can be limited in either forcing the genuine user to type it or emulating the genuine user's typing by practice. Therefore, there is still a considerable amount of researchers performing behavior-based research because they believe that keystroke dynamics can improve the security and it will be a common approach to be used in the future [2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…The timing detail means the duration between pressing a key and releasing a key or vice versa. Keystroke dynamics can be applied with the machine learning to discover knowledge about people's typing behavior [8], emotion [12], gender [3], dominant hand [4], and so forth. In this paper, we associate the typing behavior with the authentication system.…”

Section: Introductionmentioning

confidence: 99%

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Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication

Kang

2015

Journal of Sensors

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Keystroke dynamics based authentication is one of the prevention mechanisms used to protect one’s account from criminals’ illegal access. In this authentication mechanism, keystroke dynamics are used to capture patterns in a user typing behavior. Sequence alignment is shown to be one of effective algorithms for keystroke dynamics based authentication, by comparing the sequences of keystroke data to detect imposter’s anomalous sequences. In previous research, static divisor has been used for sequence generation from the keystroke data, which is a number used to divide a time difference of keystroke data into an equal-length subinterval. After the division, the subintervals are mapped to alphabet letters to form sequences. One major drawback of this static divisor is that the amount of data for this subinterval generation is often insufficient, which leads to premature termination of subinterval generation and consequently causes inaccurate sequence alignment. To alleviate this problem, we introduce sequence alignment of dynamic divisor (SADD) in this paper. In SADD, we use mean of Horner’s rule technique to generate dynamic divisors and apply them to produce the subintervals with different length. The comparative experimental results with SADD and other existing algorithms indicate that SADD is usually comparable to and often outperforms other existing algorithms.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication

Kang

2015

Journal of Sensors

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“…Free text, on the other hand, is involved in continuous authentication that prevents the attacker from presenting an authorized user in an ongoing session (Syed, Banerjee, & Cukic, 2014;Zhong, Deng, & Jain, 2012). (Syed et al, 2014) have used the variations in typing sequence as distinctive features in their authentication system. A new distance metric has been suggested and used in (Zhong et al, 2012) for keystroke based authentication systems.…”

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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“…Syed et al [97] extracted features using variations in keying event, motivated by the observation that the same text string may be inputted using different key entry sequences. They found out that such variations in typing sequences contain distinguishing information for user authentication, while being independent of typing proficiency.…”

Section: Keystroke Dynamics Featuresmentioning

confidence: 99%

A Survey on Keystroke Dynamics Biometrics: Approaches, Advances, and Evaluations

Zhong¹,

Deng²

2015

Gate to Computer Science and Research

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In this review paper we present a comprehensive survey of research efforts in the past couple of decades on keystroke dynamics biometrics. We review the literature in light of various feature extraction, feature matching and classification methods for keystroke dynamics. We also discuss recent trends in keystroke dynamics research, including its use in mobile environments, as a soft biometrics, and its fusion with other biometric modalities. We further address the evaluation of keystroke biometric systems, including traditional and new performance metrics, and list publicly available keystroke datasets for performance benchmarks to promote synergy in the research community.

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Leveraging Variations in Event Sequences in Keystroke-Dynamics Authentication Systems

Cited by 14 publications

References 13 publications

Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication

Sequence Alignment with Dynamic Divisor Generation for Keystroke Dynamics Based User Authentication

Authentication systems: principles and threats

A Survey on Keystroke Dynamics Biometrics: Approaches, Advances, and Evaluations

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