Dlwiot: Deep learning-based watermarking for authorized iot onboarding
The onboarding of IoT devices by authorized users constitutes both a challenge and a
necessity in a world, where the number of IoT devices and the tampering attacks against …
necessity in a world, where the number of IoT devices and the tampering attacks against …
On securing IoT from deep learning perspective
The extensive growth of the Internet of Things (IoT) has impacted diverse applications,
including smart homes and cities, Intelligent Transport Systems (ITS) and smart factories. IoT …
including smart homes and cities, Intelligent Transport Systems (ITS) and smart factories. IoT …
A novel deep learning model to secure internet of things in healthcare
Smart and efficient application of DL algorithms in IoT devices can improve operational
efficiency in healthcare, including tracking, monitoring, controlling, and optimization. In this …
efficiency in healthcare, including tracking, monitoring, controlling, and optimization. In this …
A hybridized methodology of different wavelet transformations targeting medical images in IoT infrastructure
TK Al-Shayea, CX Mavromoustakis, JM Batalla… - Measurement, 2019 - Elsevier
Abstract The Internet of Things (IoT) paradigm has become a vital part of all significant
scientific sectors, including the healthcare domain. Medical images in the healthcare sector …
scientific sectors, including the healthcare domain. Medical images in the healthcare sector …
A design of deep learning based optical fiber ethernet device fingerprint identification system
L Peng, A Hu - ICC 2019-2019 IEEE International Conference …, 2019 - ieeexplore.ieee.org
This paper proposes a novel deep learning based hardware fingerprint identification method
for optical fiber Ethernet devices. An adjacent constellation trance figure (ACTF) feature …
for optical fiber Ethernet devices. An adjacent constellation trance figure (ACTF) feature …
When Industrial Radio Security Meets AI: Opportunities and Challenges
W Li, G Chen, X Zhang, N Wang, S Lv… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The rapid development of artificial intelligence (AI) has brought about revolutionary changes
to industrial wireless networks. Meanwhile, these AI models have also incurred a more …
to industrial wireless networks. Meanwhile, these AI models have also incurred a more …
Radio frequency fingerprinting identification using semi-supervised learning with meta labels
Radio frequency fingerprinting (RFF) is a remarkable lightweight authentication scheme to
support rapid and scalable identification in the internet of things (IoT) systems. Deep …
support rapid and scalable identification in the internet of things (IoT) systems. Deep …
Deep radio fingerprint resnet for reliable lightweight device identification
T Zhang, P Ren, Z Ren - 2021 IEEE 94th Vehicular Technology …, 2021 - ieeexplore.ieee.org
Nowadays, a large number of intelligent devices and smart sensors are being connected by
various device identification and/or authentication protocols to satisfy various requirements …
various device identification and/or authentication protocols to satisfy various requirements …
A Deep Learning and Channel Sounding Based Data Authentication and QoS Enhancement Mechanism for Massive IoT Networks
The Internet of things has emerged as a technology that is affecting a lot of domains such as
manufacturing and automation, smart traffic systems, security, disaster management, etc …
manufacturing and automation, smart traffic systems, security, disaster management, etc …
Toward the Selection of a Lightweight Authentication Technique for the Security of Smart Homes: Framework Architecture Based on a User Centric Design
Abstract The Internet of things (IoT) is known today as a substantial technology due to variety
of its applications resulting in a huge circulation of users' private information. Thus, it poses …
of its applications resulting in a huge circulation of users' private information. Thus, it poses …