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

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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Mobile-based continuous user authentication system for cloud security

2016 IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC) ◽

10.1109/icnidc.2016.7974559 ◽

2016 ◽

Cited By ~ 2

Author(s):

Qing Li ◽

Le Wang ◽

TaeGuen Kim ◽

Eul Gyu Im

Keyword(s):

User Authentication ◽

Cloud Security ◽

Continuous User ◽

Authentication System

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Real time user authentication system for PDA

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583) ◽

10.1109/icsmc.2004.1398337 ◽

2005 ◽

Author(s):

Yingchun Yang ◽

Zhaohui Wu ◽

Zhiyou Ma

Keyword(s):

Real Time ◽

User Authentication ◽

Authentication System

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On keystrokes as Continuous User Biometric Authentication

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.f9301.088619 ◽

2019 ◽

Vol 8 (6) ◽

pp. 4149-4153

Keyword(s):

User Authentication ◽

Support Vector ◽

Free Text ◽

Biometric Authentication ◽

Text Input ◽

Continuous Authentication ◽

Online Examination ◽

Continuous User ◽

Authentication System ◽

Identification Phase

Authentication of a user through an ID and password is generally done at the start of a session. But the continuous authentication system observe the genuineness of the user throughout the entire session, and not at login only. In this paper, we propose the usage of keystroke dynamics as biometric trait for continuous user authentication in desktop platform. Biometric Authentication involves mainly three phases named as enrollment phase, verification phase and identification phase. The identification phase marks the accessed user as an authenticated only if the input pattern matches with the profile pattern otherwise the system is logout. The proposed Continuous User Biometric Authentication (CUBA) System is based on free text input from keyboard. There is no restriction on input data during Enrolment, Verification, and Identification phase. Unsupervised One-class Support Vector Machine is used to classify the authenticated user’s input from all the other inputs. This continuous authentication system can be used in many areas like in Un-proctored online examination systems, Intrusion & Fraud Detection Systems, Areas where user alertness is required for entire period e.g. Controlling Air Traffic etc.

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Continuous User Authentication System: A Risk Analysis Based Approach

Wireless Personal Communications ◽

10.1007/s11277-019-06403-0 ◽

2019 ◽

Vol 108 (1) ◽

pp. 281-295

Author(s):

Neha ◽

Kakali Chatterjee

Keyword(s):

Risk Analysis ◽

User Authentication ◽

System A ◽

Continuous User ◽

Authentication System

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Concealable Biometric-based Continuous User Authentication System An EEG Induced Deep Learning Model

2021 IEEE International Joint Conference on Biometrics (IJCB) ◽

10.1109/ijcb52358.2021.9484345 ◽

2021 ◽

Author(s):

Sindhu Reddy Kalathur Gopal ◽

Diksha Shukla

Keyword(s):

Deep Learning ◽

User Authentication ◽

Learning Model ◽

Continuous User ◽

Authentication System ◽

Deep Learning Model

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Development of an automated liver perfusion system: The benefit of a hemofilter

The International Journal of Artificial Organs ◽

10.1177/0391398818783851 ◽

2018 ◽

Vol 41 (11) ◽

pp. 723-729

Author(s):

Lucía Gullón ◽

Judit Gutiérrez-Gutiérrez ◽

Robert T Sánchez del Arco ◽

Andrés Rivera ◽

Ignacio Fernández ◽

...

Keyword(s):

Real Time ◽

Liver Perfusion ◽

Research Field ◽

Toxic Waste ◽

Centrifugal Pumps ◽

Real Time Monitoring ◽

Perfusion System ◽

Peristaltic Pumps ◽

User Friendly ◽

High Degree

Introduction: Liver perfusion machines are close to becoming a reality in the transplantation field. However, depending on the techniques used and the goals pursued, their application is limited in the research field. Here, we present the entire development of a perfusion system with self-made engineering, completely autonomous controls, and a high degree of versatility that allows the design of different studies on liver functionality. Methods: A user-friendly interface permits real-time monitoring and remote control by the devices within the circuit. Centrifugal pumps allow the perfusate enter the organ with controlled pressures and flows at both hepatic artery and portal vein. The implementation of a hemofilter as a novel tool permits to control and maintain homeostasis. Peristaltic pumps adjust pH, extraction rate, and total volume by means of sensors. Results: Real-time monitoring facilitates liver functionality assessment. The controlled system shows rapid stabilization and quick responses to changes during 6 h of perfusion experiments. Furthermore, the integration of a hemofilter helps the system to eliminate toxic waste and maintain homeostasis. Discussion: The machine provides the basis of a perfusion system with autonomous controls and the implementation of a hemofilter that enables a more efficient control of hemostasis. Moreover, the developed hardware and software are subjected to further tuning for additional purposes such as pathophysiologic studies, suboptimal grafts recovery, or recellularization of decellularized scaffolds among others.

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