A New Biometric Technology Based on Mouse Dynamics

Ahmed, A.A.E.; Traoré, Issa

doi:10.1109/tdsc.2007.70207

Cited by 304 publications

(167 citation statements)

References 12 publications

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“…Comparison between the proposed action-based multi-class approach to the histogram-based binary-class approach proposed by Ahmed et al [2].…”

Section: Resultsmentioning

confidence: 99%

“…This is in contrast to the histogram-based method in [2] which requires the aggregation of dozens of activities before accurate verification can be performed.…”

Section: The Proposed Methodsmentioning

confidence: 99%

“…The verification algorithm constructs a classifier using vectors composed of high level features, which will be described below. Some of the proposed features are new while others bare some resemblance to the ones used in [2] and [20].…”

Section: The Proposed Methodsmentioning

confidence: 99%

“…The approach introduced in [2] uses histograms in order to aggregate multiple actions and utilizes a binary model in order to represent each user. The first experiment compares this approach with the two layer approach proposed in this work.…”

Section: Comparison With a Histogram-based Approachmentioning

confidence: 99%

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User identity verification via mouse dynamics

Feher¹,

Elovici²,

Moskovitch³

et al. 2012

Information Sciences

114

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“…Comparison between the proposed action-based multi-class approach to the histogram-based binary-class approach proposed by Ahmed et al [2].…”

Section: Resultsmentioning

confidence: 99%

“…This is in contrast to the histogram-based method in [2] which requires the aggregation of dozens of activities before accurate verification can be performed.…”

Section: The Proposed Methodsmentioning

confidence: 99%

Section: The Proposed Methodsmentioning

confidence: 99%

Section: Comparison With a Histogram-based Approachmentioning

confidence: 99%

See 2 more Smart Citations

User identity verification via mouse dynamics

Feher¹,

Elovici²,

Moskovitch³

et al. 2012

Information Sciences

114

View full text Add to dashboard Cite

“…Similarly, user input tracking [1] could be a more effective and for human users far less annoying mechanism to counter the activity of bots. However, since user input tracking consumes significant resources on the server, it is best only selectively used.…”

Section: Introductionmentioning

confidence: 99%

Contextual multi-armed bandits for web server defense

Jung

Martin

Ernst

et al. 2012

The 2012 International Joint Conference on Neural Networks (IJCNN)

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Abstract-In this paper we argue that contextual multi-armed bandit algorithms could open avenues for designing self-learning security modules for computer networks and related tasks. The paper has two contributions: a conceptual and an algorithmical one. The conceptual contribution is to formulate the real-world problem of preventing HTTP-based attacks on web servers as a one-shot sequential learning problem, namely as a contextual multi-armed bandit. Our second contribution is to present CMABFAS, a new and computationally very cheap algorithm for general contextual multi-armed bandit learning that specifically targets domains with finite actions. We illustrate how CMABFAS could be used to design a fully self-learning meta filter for web servers that does not rely on feedback from the end-user (i.e., does not require labeled data) and report first convincing simulation results.

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State of the art and perspectives on traditional and emerging biometrics: A survey

Traoré

Alshahrani

Obaidat

2018

Security and Privacy

Self Cite

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The last three decades have seen a shift and impressive progress in the biometric technologies landscape. Several major real‐world applications of biometrics have been released and are currently being used around the world. At the same time, several new biometrics modalities have emerged and have started making an impact in securing sensitive data, information, and systems. We present in this paper a survey of traditional and emerging biometrics by emphasizing their connection to human body parts, behavior, and cognition. A review of the state of the art in the key technologies is carried out along with a discussion of major applications currently available in the real world.

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A New Biometric Technology Based on Mouse Dynamics

Cited by 304 publications

References 12 publications

User identity verification via mouse dynamics

User identity verification via mouse dynamics

Contextual multi-armed bandits for web server defense

State of the art and perspectives on traditional and emerging biometrics: A survey

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