A New Non-intrusive Authentication Approach for Data Protection Based on Mouse Dynamics

Lin, Chien-Cheng; Chang, Chin-Chun; Liang, Deron

doi:10.1109/isbast.2012.11

Cited by 21 publications

(11 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study [25] uses the kNN algorithm and a support-vector machine with an rbf-kernel. The study [27] combines three classifiers, namely, the kNN algorithm, support vector machines, and decision trees. The study [28] combines three models, including, 1) a nearest-neighbor based detector model, 2) a neural network detector model, and 3) a support vector machine model.…”

Section: E K-nearest-neighbors (Knn)mentioning

confidence: 99%

Authentication and Authorization for Mobile IoT Devices Using Biofeatures: Recent Advances and Future Trends

Ferrag

Μαγλαράς

Derhab

2019

Security and Communication Networks

View full text Add to dashboard Cite

Bio-features are fast becoming a key tool to authenticate the IoT devices; in this sense, the purpose of this investigation is to summaries the factors that hinder biometrics models' development and deployment on a large scale, including human physiological (e.g., face, eyes, fingerprints-palm, or electrocardiogram) and behavioral features (e.g., signature, voice, gait, or keystroke). The different machine learning and data mining methods used by authentication and authorization schemes for mobile IoT devices are provided. Threat models and countermeasures used by biometrics-based authentication schemes for mobile IoT devices are also presented. More specifically, We analyze the state of the art of the existing biometric-based authentication schemes for IoT devices. Based on the current taxonomy, We conclude our paper with different types of challenges for future research efforts in biometrics-based authentication schemes for IoT devices.

show abstract

Section: E K-nearest-neighbors (Knn)mentioning

confidence: 99%

Authentication and Authorization for Mobile IoT Devices Using Biofeatures: Recent Advances and Future Trends

Ferrag

Μαγλαράς

Derhab

2019

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Initially, the two most common user behaviors with the computing environment (i.e. the use of mouse and keyboard) were investigated for the purpose of continuously and nonintrusively authenticating users: mouse dynamics [28][29][30][31][32] and keystroke analysis [33][34][35]. Then, with the prevalence of mobile devices, several new behavioral biometrics were explored for the same purpose (i.e.…”

Section: 22mentioning

confidence: 99%

Insider Misuse Identification using Transparent Biometrics

Clarke

Alruban

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

show abstract

“…Lin et al [18] build a continuous authentication system by using everyday mouse interaction data on a windows computer. They used data of 11 volunteers and created 3 sample sets.…”

Section: State Of the Artmentioning

confidence: 99%