A survey on different continuous authentication systems

Ayeswarya, S.; Norman, Jasmine

doi:10.1504/ijbm.2019.096574

Cited by 21 publications

(10 citation statements)

References 34 publications

(31 reference statements)

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“…Ayeswarya and Norman () examines the pros and cons of various biometric traits for continuous authentication, focusing on behavioral traits and reaching different conclusions. Their work also lacks an analysis of evaluation metrics and temporal analysis.…”

Section: Introductionmentioning

confidence: 99%

“…We specifically highlight the opportunities brought about by the massive data now available on the internet that could aid in building new datasets for the problem, combined with the recent capability of training large neural networks. Ayeswarya and Norman (2019) examines the pros and cons of various biometric traits for continuous authentication, focusing on behavioral traits and reaching different conclusions. Their work also lacks an analysis of evaluation metrics and temporal analysis.…”

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confidence: 99%

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Continuous authentication using biometrics: An advanced review

Dahia

Jesus

Segundo

2020

WIREs Data Min & Knowl

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The shortcomings of conventional access control systems for high‐security environments have led to the concert of continuous authentication. Contrary to traditional verification, in which users are authenticated only once at the start of their session, continuous authentication systems regularly check users' identities to prevent hijackings. The challenges in this area involve balancing the security of protected assets by quickly detecting intruders with the system usability for genuine users. Biometric recognition plays a major role within this context, as it is the main way to assure that users are who they claim to be. A comparative analysis of the latest works revealed different aspects of this problem. First, some biometrics traits among those applied for continuous authentication are more suitable for this task than others. Second, systems combining multiple traits have advantages over those relying on a single one. Finally, many works fail to report proper evaluation metrics. With this in mind, we were able to identify new opportunities for researchers in the field. We highlight the potential for mining new datasets on the internet, which would benefit validation and benchmarking, and how recent deep learning techniques could address some of the open challenges in the area. This article is categorized under: Technologies > Prediction Technologies > Machine Learning Application Areas > Science and Technology

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Continuous authentication using biometrics: An advanced review

Dahia

Jesus

Segundo

2020

WIREs Data Min & Knowl

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“…In 2016, Patel et al [ 126 ] presented current progress and future challenges of CA on mobile devices. Ayeswary et al [ 175 ] also presented a brief overview of different CA methods, their merits, and demerits. Moreover, the authors explained open problems and emerging necessities of a continuous authentication system as well.…”

Section: Related Surveysmentioning

confidence: 99%

Security, Privacy, and Usability in Continuous Authentication: A Survey

Baig

Eskeland

2021

Sensors

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Continuous authentication has been proposed as a possible approach for passive and seamless user authentication, using sensor data comprising biometric, behavioral, and context-oriented characteristics. Since these are personal data being transmitted and are outside the control of the user, this approach causes privacy issues. Continuous authentication has security challenges concerning poor matching rates and susceptibility of replay attacks. The security issues are mainly poor matching rates and the problems of replay attacks. In this survey, we present an overview of continuous authentication and comprehensively discusses its different modes, and issues that these modes have related to security, privacy, and usability. A comparison of privacy-preserving approaches dealing with the privacy issues is provided, and lastly recommendations for secure, privacy-preserving, and user-friendly continuous authentication.

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“…Despite the ever-increasing number of continuous authentication approaches, there is still a need to develop new techniques applicable in real life where a device owner does not operate with the smartphone continuously. However, there are many open issues in the current continuous authentication studies, including the lack of real-world dataset, the need for increased accuracy, low usability of current models, and lack of adaption of proposed models [3].…”

Section: Introductionmentioning

confidence: 99%

“…One of the prevalent biometric behaviors of smartphone users is touch dynamics, a promising approach recommended by many researchers because it requires no additional hardware to collect information; it has high usability and robust security [3][4][5][6]. While biometrics are easy to observe, once breached, they cannot be modified or revoked.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Continuous Authentication System for Smartphones using Hyper Negative Selection and Random Forest Algorithms

Alharbi¹,

Marie²

2021

IJACSA

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As smartphones have become a part of our daily lives, including payment and banking transactions; therefore, increasing current data and privacy protection models is essential. A continuous authentication model aims to track the smartphone user's interaction after the initial login. However, current continuous authentication models are limited due to dynamic changes in smartphone user behavior. This paper aims to enhance smartphone user privacy and security using continuous authentication based on touch dynamics by proposing a framework for smartphone devices based on user touch behavior to provide a more accurate and adaptive learning model. We adopt a hybrid model based on the Hyper Negative Selection Algorithm (HNSA) as an artificial immune system (AIS) and the random forest ensemble classifier to instantly classify a user behavior. With the new approach, a decision model could detect normal/abnormal user behavior and update a user profile continuously while using his/her smartphone. The proposed approach was compared with the v-detector and HNSA, where it shows a high average accuracy of 98.5%, a low false alarm rate, and an increased detection rate. The new model is significant as it could be integrated with a smartphone to increase user privacy instantly. It is concluded that the proposed approach is efficient and valuable for smartphone users to increase their privacy while dynamic user behaviors evolve to change.

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A survey on different continuous authentication systems

Cited by 21 publications

References 34 publications

Continuous authentication using biometrics: An advanced review

Continuous authentication using biometrics: An advanced review

Security, Privacy, and Usability in Continuous Authentication: A Survey

Adaptive Continuous Authentication System for Smartphones using Hyper Negative Selection and Random Forest Algorithms

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