Sensor-Based Continuous Authentication of Smartphones’ Users Using Behavioral Biometrics: A Contemporary Survey

Abuhamad, Mohammed; Abusnaina, Ahmed; Nyang, DaeHun; Mohaisen, Aziz

doi:10.1109/jiot.2020.3020076

Cited by 131 publications

(59 citation statements)

References 168 publications

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“…This allowed us to redefine the emission process of the HOrBAC digital parafer by proposing a version with in behaviour detection. The proposed detection algorithm can be used for continuous authentication [1,11]. Our approach resulted in a reduction of 89.12% of the deferred requests issued according to the experiment.…”

Section: Discussionmentioning

confidence: 97%

“…The purpose of this article is to optimise requests treatment in HOrBAC model to reduce the workload of hierarchical superiors involve in requests treatment (validation or rejection) and prevent denial of service. Our work focuses on digital parafer 1 which is the engine that secure the issuance and hierarchical treatment of requests in HOrBAC model. For this purpose, we propose an automatic approach for requests treatment, focusing on employees identities verification using multi-modal analysis of behavioural variables based on entropy measurement.…”

Section: Introductionmentioning

confidence: 99%

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HOrBAC Optimization Based on Suspicious Behavior Detection Using Information Theory

Quimatio

FIDELE

2021

SN COMPUT. SCI.

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Several access control models have been developed: discretionary, mandatory, role-based, organisation-based or the recent hierarchical organisation-based. The hierarchical organisation-based model is best suited to counter internal attacks and fraud because it integrates a digital parafer that performs proactive hierarchical control of all activities carried out by the organisation's employees in the system, including those of the super-user. However, because this control is based solely on the type of requests issued by internal employees, this model is vulnerable to Denial of Service attacks in a Big Data environment. The purpose of this article is to optimise the number of requests awaiting hierarchical treatment in the hierarchical organisation-based access control model while maintaining a maximum level of security. For this purpose, we have proposed an additional layer of control of the digital parafer based on suspicious behaviour detection from the entropy measurement. Finally, we carried out a mathematical and experimental comparisons between the two approaches in terms of number of requests awaiting treatment in the system and obtained a satisfactory result.

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Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

HOrBAC Optimization Based on Suspicious Behavior Detection Using Information Theory

Quimatio

FIDELE

2021

SN COMPUT. SCI.

View full text Add to dashboard Cite

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“…Finally, the authors also provided another review that showed the vulnerability of machine learning models against well-designed adversarial attack vectors, and they highlighted relevant countermeasures. A list of open challenges in behavioral biometrics can be found in [ 11 ]. If the reader is interested in IoT devices, aAn exciting survey can be found in [ 12 ], in which the authors present an overview of continuous authentication methods in the IoT environment and include those works based on BlockChain technology.…”

Section: Related Workmentioning

confidence: 99%

S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information

López

Celdrán

Marín-Blázquez

et al. 2021

Sensors

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Continuous authentication systems have been proposed as a promising solution to authenticate users in smartphones in a non-intrusive way. However, current systems have important weaknesses related to the amount of data or time needed to build precise user profiles, together with high rates of false alerts. Voice is a powerful dimension for identifying subjects but its suitability and importance have not been deeply analyzed regarding its inclusion in continuous authentication systems. This work presents the S3 platform, an artificial intelligence-enabled continuous authentication system that combines data from sensors, applications statistics and voice to authenticate users in smartphones. Experiments have tested the relevance of each kind of data, explored different strategies to combine them, and determined how many days of training are needed to obtain good enough profiles. Results showed that voice is much more relevant than sensors and applications statistics when building a precise authenticating system, and the combination of individual models was the best strategy. Finally, the S3 platform reached a good performance with only five days of use available for training the users’ profiles. As an additional contribution, a dataset with 21 volunteers interacting freely with their smartphones for more than sixty days has been created and made available to the community.

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“…Improving solvers of stylometry problems is essential for enhancing various application domains, such as forensics, privacy (or anti-forensics), active-authentication [1]- [3], the detection of compromised accounts [4], recommender systems [5], deception detection, market analysis, and medical diagnosis [6], [7]. Author identification can also be accurately performed on program source codes [8], [9] as well as compiled binaries [10].…”

Section: Introductionmentioning

confidence: 99%

Authorship Identification of Electronic Texts

2021

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Electronic text stylometry is concerned with analyzing the writing styles of input electronic texts to extract information about their authors. For example, such extracted data could be the authors' identity or other aspects, such as their gender and age group. This survey paper presents the following contributions: 1) A description of all stylometry problems in probability terms, under a unified notation.2) A survey of data representation (or feature extraction) methods. 3) A comprehensive evaluation of 23, 760 feature extraction methods followed by a thorough discussion of the results. This extensive evaluation is critical since the known data representation methods are often not evaluated under the same unified testbed.

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Sensor-Based Continuous Authentication of Smartphones’ Users Using Behavioral Biometrics: A Contemporary Survey

Cited by 131 publications

References 168 publications

HOrBAC Optimization Based on Suspicious Behavior Detection Using Information Theory

HOrBAC Optimization Based on Suspicious Behavior Detection Using Information Theory

S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information

Authorship Identification of Electronic Texts

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