Multi-factor authentication: A survey
Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …
enablers to maintain this process secure is authentication. It covers many different areas of a …
Challenges and future perspectives on electroencephalogram-based biometrics in person recognition
The emergence of the digital world has greatly increased the number of accounts and
passwords that users must remember. It has also increased the need for secure access to …
passwords that users must remember. It has also increased the need for secure access to …
A puf taxonomy
Authentication is an essential cryptographic primitive that confirms the identity of parties
during communications. For security, it is important that these identities are complex, in order …
during communications. For security, it is important that these identities are complex, in order …
CorNET: Deep learning framework for PPG-based heart rate estimation and biometric identification in ambulant environment
Advancements in wireless sensor network technologies have enabled the proliferation of
miniaturized body-worn sensors, capable of long-term pervasive biomedical signal …
miniaturized body-worn sensors, capable of long-term pervasive biomedical signal …
Affective EEG-based person identification using the deep learning approach
T Wilaiprasitporn, A Ditthapron… - … on Cognitive and …, 2019 - ieeexplore.ieee.org
Electroencephalography (EEG) is another method for performing person identification (PI).
Due to the nature of the EEG signals, EEG-based PI is typically done while a person is …
Due to the nature of the EEG signals, EEG-based PI is typically done while a person is …
EEG-based user identification system using 1D-convolutional long short-term memory neural networks
Electroencephalographic (EEG) signals have been widely used in medical applications, yet
the use of EEG signals as user identification systems for healthcare and Internet of Things …
the use of EEG signals as user identification systems for healthcare and Internet of Things …
Brain waves for automatic biometric-based user recognition
P Campisi, D La Rocca - IEEE transactions on information …, 2014 - ieeexplore.ieee.org
Brain signals have been investigated within the medical field for more than a century to
study brain diseases like epilepsy, spinal cord injuries, Alzheimer's, Parkinson's …
study brain diseases like epilepsy, spinal cord injuries, Alzheimer's, Parkinson's …
Person authentication using brainwaves (EEG) and maximum a posteriori model adaptation
In this paper, we investigate the use of brain activity for person authentication. It has been
shown in previous studies that the brain-wave pattern of every individual is unique and that …
shown in previous studies that the brain-wave pattern of every individual is unique and that …
PSKA: Usable and secure key agreement scheme for body area networks
KK Venkatasubramanian, A Banerjee… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
A body area network (BAN) is a wireless network of health monitoring sensors designed to
deliver personalized healthcare. Securing intersensor communications within BANs is …
deliver personalized healthcare. Securing intersensor communications within BANs is …
A high-security EEG-based login system with RSVP stimuli and dry electrodes
Lately, electroencephalography (EEG)-based auth-entication has received considerable
attention from the scientific community. However, the limited usability of wet EEG electrodes …
attention from the scientific community. However, the limited usability of wet EEG electrodes …