A comprehensive literature survey of cryptography algorithms for improving the iot security

F Thabit, O Can, AO Aljahdali, GH Al-Gaphari… - Internet of Things, 2023 - Elsevier
In today's fast-paced world, a new technology paradigm known as the Internet of Things
(IoT) is advancing every business. It provides communication between the digital and …

DAG block: Trust aware load balanced routing and lightweight authentication encryption in WSN

M Revanesh, JM Acken, V Sridhar - Future Generation Computer Systems, 2023 - Elsevier
A wireless sensor network (WSN) is a staple network architecture that can be widely used to
support diverse of applications as smart cities, smart homes, etc. However, energy …

Two-Factor Privacy Preserving Protocol for Efficient Authentication in Internet of Vehicles Networks

MA Al Sibahee, VO Nyangaresi… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Internet of Vehicles (IoVs) has greatly improved safety and quality of services in Intelligent
Transportation System (ITS). However, the deployed Dedicated Short-Range …

[HTML][HTML] Dimensions of artificial intelligence techniques, blockchain, and cyber security in the Internet of medical things: Opportunities, challenges, and future …

AH Ameen, MA Mohammed… - Journal of Intelligent …, 2023 - degruyter.com
The Internet of medical things (IoMT) is a modern technology that is increasingly being used
to provide good healthcare services. As IoMT devices are vulnerable to cyberattacks …

Efficient anonymous batch authentication scheme with conditional privacy in the Internet of Vehicles (IoV) applications

C Maurya, VK Chaurasiya - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) has emerged as a robust solution to improve real-time road
traffic conditions, safety, and driving comfort. However, the road's dynamic environment and …

[HTML][HTML] A blockchain-enabled internet of medical things system for breast cancer detection in healthcare

S Chaudhury, K Sau - Healthcare Analytics, 2023 - Elsevier
Intelligent and sustainable healthcare systems can considerably benefit from applying
Computational Intelligence (CI) and Artificial Intelligence (AI). These technological …

A reinforcement federated learning based strategy for urinary disease dataset processing

S Ahmed, TM Groenli, A Lakhan, Y Chen… - Computers in Biology and …, 2023 - Elsevier
Urinary disease is a complex healthcare issue that continues to grow in prevalence. Urine
tests have proven valuable in identifying conditions such as kidney disease, urinary tract …

[HTML][HTML] Internet of Medical Things with a blockchain-assisted smart healthcare system using metaheuristics with a deep learning model

A Albakri, YM Alqahtani - Applied Sciences, 2023 - mdpi.com
The Internet of Medical Things (IoMT) is a network of healthcare devices such as wearables,
diagnostic equipment, and implantable devices, which are linked to the internet and can …

[HTML][HTML] An internet of things enabled machine learning model for Energy Theft Prevention System (ETPS) in Smart Cities

MT Quasim, K Nisa, MZ Khan, MS Husain… - Journal of Cloud …, 2023 - Springer
Energy theft is a significant problem that needs to be addressed for effective energy
management in smart cities. Smart meters are highly utilized in smart cities that help in …

A Heterogeneous Cloud-Edge Collaborative Computing Architecture with Affinity-Based Workflow Scheduling and Resource Allocation for Internet-of-Things …

S Lyu, X Dai, Z Ma, Y Zhou, X Liu, Y Gao… - Mobile Networks and …, 2023 - Springer
Cloud-edge collaborative computing (CECC) is a critical way to solve the real-time problems
in the Medical Internet of Things (MIoT) and Industrial IoT (IIoT) applications. However, how …