Internet of things forensics: Recent advances, taxonomy, requirements, and open challenges

I Yaqoob, IAT Hashem, A Ahmed, SMA Kazmi… - Future Generation …, 2019 - Elsevier
The explosive growth of smart objects and their dependency on wireless technologies for
communication increases the vulnerability of Internet of Things (IoT) to cyberattacks …

Biometrics for internet-of-things security: A review

W Yang, S Wang, NM Sahri, NM Karie, M Ahmed… - Sensors, 2021 - mdpi.com
The large number of Internet-of-Things (IoT) devices that need interaction between smart
devices and consumers makes security critical to an IoT environment. Biometrics offers an …

[PDF][PDF] Design of deep learning algorithm for IoT application by image based recognition

IJ Jacob, PE Darney - Journal of ISMAC, 2021 - academia.edu
ABSTRACT The Internet of Things (IoT) is an ecosystem comprised of multiple devices and
connections, a large number of users, and a massive amount of data. Deep learning is …

A systematic review of finger vein recognition techniques

K Shaheed, H Liu, G Yang, I Qureshi, J Gou, Y Yin - Information, 2018 - mdpi.com
Biometric identification is the study of physiological and behavioral attributes of an individual
to overcome security problems. Finger vein recognition is a biometric technique used to …

[HTML][HTML] Finger vein identification using deeply-fused Convolutional Neural Network

I Boucherit, MO Zmirli, H Hentabli, BA Rosdi - Journal of King Saud …, 2022 - Elsevier
Finger vein identification is a recently developed biometric technology and has become an
essential field in biometrics, garnering increasing attention in recent years. As a biometric …

Finger-vein biometric recognition: A review

B Hou, H Zhang, R Yan - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Finger-vein-based biometric technology has received wide attention and has made some
positive achievements in improving the performance of personal identification. This article …

Biometric authentication using a deep learning approach based on different level fusion of finger knuckle print and fingernail

H Heidari, A Chalechale - Expert Systems with Applications, 2022 - Elsevier
This paper presents a deep learning method for human authentication based on hand
dorsal characteristics. The proposed method uses the fingernail (FN) and the finger knuckle …

Finger vein biometrics: taxonomy analysis, open challenges, future directions, and recommended solution for decentralised network architectures

AH Mohsin, AA Zaidan, BB Zaidan, OS Albahri… - Ieee …, 2020 - ieeexplore.ieee.org
A review is conducted to deeply analyse and map the research landscape of current
technologies in finger vein (FV) biometric authentication in medical systems into a coherent …

A blockchain-based authentication and authorization scheme for distributed mobile cloud computing services

L Yu, M He, H Liang, L Xiong, Y Liu - Sensors, 2023 - mdpi.com
Authentication and authorization constitute the essential security component, access control,
for preventing unauthorized access to cloud services in mobile cloud computing (MCC) …

Radar-based non-contact continuous identity authentication

SMM Islam, O Borić-Lubecke, Y Zheng, VM Lubecke - Remote Sensing, 2020 - mdpi.com
Non-contact vital signs monitoring using microwave Doppler radar has shown great promise
in healthcare applications. Recently, this unobtrusive form of physiological sensing has also …