Hidden identification for operators of information-processing systems by heart rate variability in the course of professional activity

Epifantsev, B. N.; Ложников, П. С.; Kovalchuk, A. S.

doi:10.1109/dynamics.2014.7005677

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…Particularly by means of consistent application of modified Bayes hypotheses Formula (1) that shows high results while identifying the images in low informative biometric features space [25]. The essence of this method consists in calculating posterior probabilities of hypotheses P j (H i /A) per a certain number of steps using the Formula (1). The number of steps equals to number of signature features.…”

Section: Decision-making Algorithmmentioning

confidence: 99%

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Personal Identification and the Assessment of the Psychophysiological State While Writing a Signature

2015

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This article discusses the problem of user identification and psychophysiological state assessment while writing a signature using a graphics tablet. The solution of the problem includes the creation of templates containing handwriting signature features simultaneously with the hidden registration of physiological parameters of a person being tested. Heart rate variability description in the different time points is used as a physiological parameter. As a result, a signature template is automatically generated for psychophysiological states of an identified person. The problem of user identification and psychophysiological state assessment is solved depending on the registered value of a physiological parameter.

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Section: Decision-making Algorithmmentioning

confidence: 99%

“…The global economy combined losses due to insiders are impressive [1]. The viewpoint consisting of the fact that further traditional means of protection improvement does not correct the situation has been formed.…”

Section: Introductionmentioning

confidence: 99%

Personal Identification and the Assessment of the Psychophysiological State While Writing a Signature

2015

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“…Such binding is integral to a person so it reliably precludes the possibility of forgery in practice. Biometrical characteristics (including dynamic) are inherent and allow for a solution to the above-mentioned human factor prospectively [4,5].…”

Section: Introductionmentioning

confidence: 99%

Methods of Generating Key Sequences Based on Parameters of Handwritten Passwords and Signatures

et al. 2016

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Abstract:The modern encryption methods are reliable if strong keys (passwords) are used, but the human factor issue cannot be solved by cryptographic methods. The best variant is binding all authenticators (passwords, encryption keys, and others) to the identities. When a user is authenticated by biometrical characteristics, the problem of protecting a biometrical template stored on a remote server becomes a concern. The paper proposes several methods of generating keys (passwords) by means of the fuzzy extractors method based on signature parameters without storing templates in an open way.

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Insider threats to information security: Problem areas in neutralization

Epifantsev

Zhumazhanova

Ложников

2016

2016 17th International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices (EDM)

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Hidden identification for operators of information-processing systems by heart rate variability in the course of professional activity

Cited by 5 publications

References 4 publications

Personal Identification and the Assessment of the Psychophysiological State While Writing a Signature

Personal Identification and the Assessment of the Psychophysiological State While Writing a Signature

Methods of Generating Key Sequences Based on Parameters of Handwritten Passwords and Signatures

Insider threats to information security: Problem areas in neutralization

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