Using brain signals patterns for biometric identity verification systems

Al-Hudhud, Ghada; Alzamel, Mai; Alattas, Eman; Al-Wabil, Areej

doi:10.1016/j.chb.2013.09.018

Cited by 17 publications

(6 citation statements)

References 6 publications

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“…The passwords used to be (Loch et al, 1992;Tzong-Chen and Hung-Sung, 1996;Zviran and Haga, 1990) and still are the main method of authentication (Creese et al, 2013;Egelman et al, 2013;Lee et al, 2013), although research continues on more sophisticated methods of authentication, see e.g. Al-Hudhud et al (2014), Hölbl et al (2008Hölbl et al ( , 2010Hölbl et al ( , 2012, Jiang et al (2013), Kuo et al (2006), Liaojun et al (2013). Some novel solutions are even improvements of concepts well known to the automobile industry (i.e.…”

Section: Introductionmentioning

confidence: 99%

System-Assigned Passwords: The Disadvantages of the Strict Password Management Policies

Brumen¹

2020

Informatica

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After Morris and Thompson wrote the first paper on password security in 1979, strict password policies have been enforced to make sure users follow the rules on passwords. Many such policies require users to select and use a system-generated password. The objective of this paper is to analyse the effectiveness of strict password management policies with respect to how users remember system-generated passwords of different textual types-plaintext strings, passphrases, and hybrid graphical-textual PsychoPass passwords. In an experiment, participants were assigned a random string, passphrase, and PsychoPass passwords and had to memorize them. Surprisingly, no one has remembered either the random string or the passphrase, whereas only 10% of the participants remembered their PsychoPass password. The policies where administrators let systems assign passwords to users are not appropriate. Although PsychoPass passwords are easier to remember, the recall rate of any system-assigned password is below the acceptable level. The findings of this study explain that system-assigned strong passwords are inappropriate and put unacceptable memory burden on users.

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Section: Introductionmentioning

confidence: 99%

System-Assigned Passwords: The Disadvantages of the Strict Password Management Policies

Brumen¹

2020

Informatica

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“…Similarly, Pham et al [6] have presented a new method based on brainwave signals using the advantage of rich information for personal authentication in multi-level security systems. Al-Hudhud et al [7] have introduced a multimodal biometric system which overcomes the weaknesses of biometric systems using biometric verification techniques for operating devices.…”

Section: Introductionmentioning

confidence: 99%

Application of a brain-computer interface for person authentication using EEG responses to photo stimuli

Zhang

Yin

2018

J. Integr. Neurosci.

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In this paper, a personal authentication system that can effectively identify individuals by generating unique electroencephalogram signal features in response to self-face and non-self-face photos is presented. To achieve performance stability, a sequence of self-face photographs including first-occurrence position and non-first-occurrence position are taken into account in the serial occurrence of visual stimuli. Additionally, a Fisher linear classification method and event-related potential technique for feature analysis is adapted to yield remarkably better outcomes than those obtained by most existing methods. Results show that EEG-based authentication of individuals via brain-computer interface can be considered suitable as an approach to biometric authentication.

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“…The training patern was ive from each subject, and the SD average was calculated and saved as stored features. This was implemented by the authors previously and published [10,30,31,32].…”

Section: Feature Extraction Unitmentioning

confidence: 99%

“…This part describes the feature extraction from the cloud storage of the biometric data and the best multimodal fusion technique for the biometric and nonbiometric combination [31,32].…”

Section: Proposed Technical Solutionmentioning

confidence: 99%

Smart Brain Interaction Systems for Office Access and Control in Smart City Context

Al-Hudhud¹

2016

Smart Cities Technologies

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Over the past decade, the term "smart cities" has been worldwide priority for city planning by governments. Planning smart cities implies identifying key drivers for transforming into more convenient, comfortable, and safer life. This requires equipping the cities with appropriate smart technologies and infrastructure. Smart infrastructure is a key component in planning smart cities: smart places, transportation, health and education systems. Smart oices present the concept of workplaces that respond to user's needs and allow less commitment to routine tasks. Smart oices solutions enable employees to change status of the surrounding environment upon the change of user's preferences using the changes in the user's biometrics measures. Meanwhile, smart oice access and control through brain signals is quite recent concept. Hence, smart oices provide access and services availability at each moment using smart personal identiication (PI) interfaces that responds only to the personal thoughts/preferences issued by the oice employee not any other person. Hence, authentication and control systems could beneit from the biometrics. Yet these systems are facing eiciency and accessibility challenges in terms of unimodality. This chapter addresses those problems and proposes a prototype for multimodal biometric person identiication control system for smart oice access and control as a solution.

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Using brain signals patterns for biometric identity verification systems

Cited by 17 publications

References 6 publications

System-Assigned Passwords: The Disadvantages of the Strict Password Management Policies

System-Assigned Passwords: The Disadvantages of the Strict Password Management Policies

Application of a brain-computer interface for person authentication using EEG responses to photo stimuli

Smart Brain Interaction Systems for Office Access and Control in Smart City Context

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