A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges

AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …

Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography

C Li, D Lin, J Lü, F Hao - IEEE multimedia, 2018 - ieeexplore.ieee.org
This paper performs a thorough security analysis of a chaotic image encryption algorithm
based on autoblocking and electrocardiography from the view point of modern cryptography …

On the security aspects of Internet of Things: A systematic literature review

ELC Macedo, EAR De Oliveira, FH Silva… - Journal of …, 2019 - ieeexplore.ieee.org
Internet of Things (IoT) has gained increasing visibility among emerging technologies and
undoubtedly changing our daily life. Its adoption is strengthened by the growth of connected …

A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication

M Hammad, S Zhang, K Wang - Future Generation Computer Systems, 2019 - Elsevier
A biometrics-based authentication system is usually a better security solution than traditional
systems which are heavily reliant on passwords, personal identification numbers or smart …

An intelligent multimodal biometric authentication model for personalised healthcare services

F Ahamed, F Farid, B Suleiman, Z Jan, LA Wahsheh… - Future Internet, 2022 - mdpi.com
With the advent of modern technologies, the healthcare industry is moving towards a more
personalised smart care model. The enablers of such care models are the Internet of Things …

Multimodal biometric authentication based on deep fusion of electrocardiogram (ECG) and finger vein

BA El-Rahiem, FEA El-Samie, M Amin - Multimedia Systems, 2022 - Springer
Biometric identification depends on the statistical analysis of the unique physical and
behavioral characteristics of individuals. However, a unimodal biometric system is …

A study on ECG signal characterization and practical implementation of some ECG characterization techniques

A Appathurai, JJ Carol, C Raja, SN Kumar, AV Daniel… - Measurement, 2019 - Elsevier
The role of ECG is pivotal in medical field for the analysis of cardiac physiology and
abnormalities. The interpretation of ECG signal is performed by signal processing algorithms …

A robust device-to-device continuous authentication protocol for the internet of things

A Badhib, S Alshehri, A Cherif - IEEE Access, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is a heterogeneous environment that connects billions of
devices. Thus, it is a significantly high-value target for attackers and suffers from several …

Driver identification system using normalized electrocardiogram based on adaptive threshold filter for intelligent vehicles

GH Choi, K Lim, SB Pan - Sensors, 2020 - mdpi.com
Driver-centered infotainment and telematics services are provided for intelligent vehicles
that improve driver convenience. Driver-centered services are performed after identification …

IoT-enabled ECG-based heart disease prediction using three-layer deep learning and meta-heuristic approach

J Mishra, M Tiwari - Signal, Image and Video Processing, 2024 - Springer
IoT-enabled electrocardiogram (ECG) devices are used to identify abnormal heart activity in
the ECG signals and predict heart disease. Patients wear these devices, which send the …