Evaluation of PPG Biometrics for Authentication in Different States

Yadav, Umang; Abbas, Sherif N.; Hatzinakos, Dimitrios

doi:10.1109/icb2018.2018.00049

Cited by 69 publications

(68 citation statements)

References 9 publications

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“…Evaluating the two authentication maps, we observe that none of them got false negatives, showing that in every situation in which a legitimate user tried to authenticate, the authentication was successful. Authentication accuracy yielded by BEAT is equivalent to other PPG authentication systems such as [28,29]. However, BEAT employs GC to provide a secure communication channel, making it difficult to perform a full comparison once; to the best of our knowledge, there is no other system that jointly applies PPG biosignal and GC to user authentication.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 92%

A Continuous User Authentication System Based on Galvanic Coupling Communication for s-Health

Nakayama

Lenz

Banou

et al. 2019

Wireless Communications and Mobile Computing

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Smart health (s-health) is a vital topic and an essential research field today, supporting the real-time monitoring of user’s data by using sensors, either in direct or indirect contact with the human body. Real-time monitoring promotes changes in healthcare from a reactive to a proactive paradigm, contributing to early detection, prevention, and long-term management of health conditions. Under these new conditions, continuous user authentication plays a key role in protecting data and access control, once it focuses on keeping track of a user’s identity throughout the system operation. Traditional user authentication systems cannot fulfill the security requirements of s-health, because they are limited, prone to security breaches, and require the user to frequently authenticate by, e.g., a password or fingerprint. This interrupts the normal use of the system, being highly inconvenient and not user friendly. Also, data transmission in current authentication systems relies on wireless technologies, which are susceptible to eavesdropping during the pairing stage. Biological signals, e.g., electrocardiogram (ECG) and electroencephalogram (EEG), can offer continuous and seamless authentication bolstered by exclusive characteristics from each individual. However, it is necessary to redesign current authentication systems to encompass biometric traits and new communication technologies that can jointly protect data and provide continuous authentication. Hence, this article presents a novel biosignal authentication system, in which the photoplethysmogram (PPG) biosignal and a galvanic coupling (GC) channel lead to continuous, seamless, and secure user authentication. Furthermore, this article contributes to a clear organization of the state of the art on biosignal-based continuous user authentication systems, assisting research studies in this field. The evaluation of the system feasibility presents accuracy in keeping data integrity and up to 98.66% accuracy in the authentication process.

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Section: Wireless Communications and Mobile Computingmentioning

confidence: 92%

A Continuous User Authentication System Based on Galvanic Coupling Communication for s-Health

Nakayama

Lenz

Banou

et al. 2019

Wireless Communications and Mobile Computing

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“…Os sinais PPG refletem as ações pulsativas das artérias através da interação entre a hemoglobina oxigenada e os fótons. Acredita-se que cada pessoa tenha uma hemodinâmica e um sistema cardiovascularúnicos [Yadav et al 2018]. Por conta disso, os sinais PPG podem ser utilizados para autenticação biométrica.…”

Section: Features Consideradas Em Sinais Vitaisunclassified

“…Como o registro do PPG requer apenas LED e PD, eleé muito econômico, comparado aos outros traços biométricos. No contexto da biometria médica, o registro do PPG não requer nenhum tipo de gel, estímulo externo ou vários eletrodos e pode ser convenientemente registrado de praticamente qualquer parte do corpo [Yadav et al 2018, Nakayama et al 2019.…”

Section: Features Consideradas Em Sinais Vitaisunclassified

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Autenticação usando Sinais Biométricos: Fundamentos, Aplicações e Desafios

Cerqueira¹,

Resque²,

Medeiros³

et al. 2019

Jornada De Atualização Em Informática 2019

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Our systems and data (e.g., websites, smartphones, safes, cars, banks, airports) are protected by traditional authentication methods. However, the growing concern about information security and the deployment of smart cities are demanding efforts to find solutions that prevent theft, loss, unauthorized copy, or the forgery of keys, tokens, and passwords. The Internet of Things (IoT) enabled a large increase of personal data collected and published in the Internet. In this context, biometric authentication has earned more and more place as a security solution because they demand, in general, physical presence, vitality, and they are hard to falsify. Among the biometric signals used in academic or commercial products, we mention: iris, face, the palm of hand, fingerprints, walking, voice, electrocardiogram (ECG), electroencephalogram (EEG), and photoplethysmogram (PPG). This chapter brings the state-of-the-art about the use of several biometric signals in an authentication system, contextualizing the applications already developed and the challenges they faced when coexisting with Smart Cities and the Internet of Things. Each type of biometric signal has its own challenges for data acquisition, cost, feature selection, and method to implement the classification. In addition, this chapter presents a review of the machine learning techniques used in biometric systems. The proper choice of the identification technique and classification directly influences results, costs and also the required amount of input data, and the quality of the captured data.

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“…Yet, recent study showed that the above methods forged security risks [ 9 , 25 ]. Scientists have proposed to use other unique characteristics like, among others, ear [ 26 ], vein [ 27 ], odor [ 28 ], electroencephalograph (EEG) [ 29 ], electrocardiogram (ECG) [ 30 ], and photoplethysmography (PPG) [ 31 ]. However, some biometrics, such as vein, odor, and EEG, are hard to integrate into wearable devices.…”

Section: Background and Related Workmentioning

confidence: 99%

A Continuous Identity Authentication Scheme Based on Physiological and Behavioral Characteristics

Wang

Zhang

et al. 2018

Sensors

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Wearable devices have flourished over the past ten years providing great advantages to people and, recently, they have also been used for identity authentication. Most of the authentication methods adopt a one-time authentication manner which cannot provide continuous certification. To address this issue, we present a two-step authentication method based on an own-built fingertip sensor device which can capture motion data (e.g., acceleration and angular velocity) and physiological data (e.g., a photoplethysmography (PPG) signal) simultaneously. When the device is worn on the user’s fingertip, it will automatically recognize whether the wearer is a legitimate user or not. More specifically, multisensor data is collected and analyzed to extract representative and intensive features. Then, human activity recognition is applied as the first step to enhance the practicability of the authentication system. After correctly discriminating the motion state, a one-class machine learning algorithm is applied for identity authentication as the second step. When a user wears the device, the authentication process is carried on automatically at set intervals. Analyses were conducted using data from 40 individuals across various operational scenarios. Extensive experiments were executed to examine the effectiveness of the proposed approach, which achieved an average accuracy rate of 98.5% and an F1-score of 86.67%. Our results suggest that the proposed scheme provides a feasible and practical solution for authentication.

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Evaluation of PPG Biometrics for Authentication in Different States

Cited by 69 publications

References 9 publications

A Continuous User Authentication System Based on Galvanic Coupling Communication for s-Health

A Continuous User Authentication System Based on Galvanic Coupling Communication for s-Health

Autenticação usando Sinais Biométricos: Fundamentos, Aplicações e Desafios

A Continuous Identity Authentication Scheme Based on Physiological and Behavioral Characteristics

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