AI-powered biometrics for Internet of Things security: A review and future vision

AI Awad, A Babu, E Barka, K Shuaib - Journal of Information Security and …, 2024 - Elsevier
Biometrics is a set of advanced technologies that use the physical or behavioral
characteristics of individuals to provide reliable access control. With the rapid development …

[Retracted] An AI‐Driven Hybrid Framework for Intrusion Detection in IoT‐Enabled E‐Health

F Wahab, Y Zhao, D Javeed… - Computational …, 2022 - Wiley Online Library
E‐health has grown into a billion‐dollar industry in the last decade. Its device's high
throughput makes it an obvious target for cyberattacks, and these environments desperately …

IoT-based biometric recognition systems in education for identity verification services: Quality assessment approach

M Rukhiran, S Wong-In, P Netinant - Ieee Access, 2023 - ieeexplore.ieee.org
Traditional identity verification of students based on the human proctoring approach can
cause a scam identity verification and ineffective processing time, particularly among vast …

Application layer security for Internet communications: A comprehensive review, challenges, and future trends

D Cevallos-Salas, J Estrada-Jiménez… - Computers and Electrical …, 2024 - Elsevier
The security of Internet communications has traditionally been delegated to controls at lower
layers of the Transmission Control Protocol/Internet Protocol (TCP/IP) architecture. However …

Patients medical record monitoring using IoT based biometrics blockchain security system

KK Gautam, S Prakash… - … Conference on IoT …, 2023 - ieeexplore.ieee.org
The Patient medical record monitoring using IoT based Biometrics and blockchain security
system suggests an innovative strategy for patient monitoring of their health and disease that …

[PDF][PDF] Strategizing IoT Network Layer Security Through Advanced Intrusion Detection Systems and AI-Driven Threat Analysis

DD Rao, AA Waoo, MP Singh, PK Pareek… - Full Length …, 2024 - researchgate.net
This research introduces an algorithmic framework for enhancing the security of Internet of
Things (IoT) networks. The Enhanced Anomaly Detection (EAD) algorithm initiates the …

[PDF][PDF] Hybrid software defined network-based deep learning framework for enhancing internet of medical things cybersecurity

Y Rbah, M Mahfoudi, M Fattah, Y Balboul… - Int J Artif …, 2024 - researchgate.net
The rapid growth of the internet of medical things (IoMT) has escalated cyberattack risks in
healthcare. With IoMT devices proliferating in healthcare facilities, conventional intrusion …

Deep Learning for Enhanced IoMT Security: A GNN-BiLSTM Intrusion Detection System

Y Rbah, M Mahfoudi, M Fattah… - … on Circuit, Systems …, 2024 - ieeexplore.ieee.org
The growing number of Internet of Medical Things (IoMT) devices integrated into healthcare
creates an expanding attack surface. Traditional intrusion detection methods struggle to …

An Intrusion Detection System for the Internet of Medical Things (IoMT): An Artificial Intelligence (AI) Approach

E Araba, P Moggridge - ATBU Journal of Science, Technology …, 2024 - atbuftejoste.com.ng
Abstract The Internet of Medical Things (IoMT) is a network of linked medical devices,
including pacemakers, prosthetic limbs, glucometers, smartwatches, and more, integrated …

[PDF][PDF] Research Article An AI-Driven Hybrid Framework for Intrusion Detection in IoT-Enabled E-Health

F Wahab, Y Zhao, D Javeed, MH Al-Adhaileh… - 2022 - academia.edu
E-health has grown into a billion-dollar industry in the last decade. Its device's high
throughput makes it an obvious target for cyberattacks, and these environments desperately …