A closed sets based learning classifier for implicit authentication in web browsing

Dia, Diyé; Kahn, Giacomo; Labernia, Fabien; Loiseau, Yannick; Raynaud, Olivier

doi:10.1016/j.dam.2018.11.016

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…The authors split the file among 3,000 users to retrieve class files. More information about this dataset can be found in [27]. The study was conducted for 150 users with the highest number of requests.…”

Section: Experimental Study Of the Approach To Identifying Users By T...mentioning

confidence: 99%

Devising an approach to the identification of system users by their behavior using machine learning methods

Martovytskyi

Sievierinov

Liashenko

et al. 2022

EEJET

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One of the biggest reasons that lead to violations of the security of companies’ services is obtaining access by the intruder to the legitimate accounts of users in the system. It is almost impossible to fight this since the intruder is authorized as a legitimate user, which makes intrusion detection systems ineffective. Thus, the task to devise methods and means of protection (intrusion detection) that would make it possible to identify system users by their behavior becomes relevant. This will in no way protect against the theft of the data of the accounts of users of the system but will make it possible to counteract the intruders in cases where they use this account for further hacking of the system. The object of this study is the process of protecting system users in the case of theft of their authentication data. The subject is the process of identifying users of the system by their behavior in the system. This paper reports a functional model of the process of ensuring the identification of users by their behavior in the system, which makes it possible to build additional means of protecting system users in the case of theft of their authentication data. The identification model takes into consideration the statistical parameters of user behavior that were obtained during the session. In contrast to the existing approaches, the proposed model makes it possible to provide a comprehensive approach to the analysis of the behavior of users both during their work (in a real-time mode) and after the session is over (in a delayed mode). An experimental study on the proposed approach of identifying users by their behavior in the system showed that the built patterns of user behavior using machine learning methods demonstrated an assessment of the quality of identification exceeding 0.95

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Section: Experimental Study Of the Approach To Identifying Users By T...mentioning

confidence: 99%

Devising an approach to the identification of system users by their behavior using machine learning methods

Martovytskyi

Sievierinov

Liashenko

et al. 2022

EEJET

View full text Add to dashboard Cite

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A biometric‐based implicit authentication protocol with privacy protection for ubiquitous communication environments

Liu

Kannadasan

et al. 2023

Int J Communication

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SummaryDue to the proliferation of the wireless communication technologies, we are now in the era of ubiquitous computing. People can enjoy services almost in any time and any location based on the mobile intelligent devices. Meanwhile, more and more personal information are transmitted through the network. To protect these sensitive information, authentication and privacy protection are primary concerns in ubiquitous communication environments. However, traditional physical‐based biometric authentication scheme usually requires explicit cooperation of the user, which is inconvenient to the users. In order to solve this problem, a behavior biometric authentication protocol with privacy protection is designed using matrix multiplication and homomorphic encryption for ubiquitous communication environments. The correctness, security, and privacy protection properties are proved with security analysis. Performance evaluation shows that our protocol achieves stronger security and higher communication efficiency compared with other related protocols, which makes it very suitable for ubiquitous communication environments because communication consumes much more energy than computation does in mobile communication.

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Adaptive Authentication System Based on Unsupervised Learning for Web-Oriented Platforms

Iskhakov,

Khazanova,

Mamchenko

et al. 2023

Lecture Notes on Data Engineering and Communications Technologies

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A closed sets based learning classifier for implicit authentication in web browsing

Cited by 6 publications

References 15 publications

Devising an approach to the identification of system users by their behavior using machine learning methods

Devising an approach to the identification of system users by their behavior using machine learning methods

A biometric‐based implicit authentication protocol with privacy protection for ubiquitous communication environments

Adaptive Authentication System Based on Unsupervised Learning for Web-Oriented Platforms

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