Cybersecurity threats, countermeasures and mitigation techniques on the IoT: Future research directions
E Altulaihan, MA Almaiah, A Aljughaiman - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) interconnects physical and virtual objects embedded with
sensors, software, and other technologies, which exchange data using the Internet. This …
sensors, software, and other technologies, which exchange data using the Internet. This …
An industrial IoT-based blockchain-enabled secure searchable encryption approach for healthcare systems using neural network
The IoT refers to the interconnection of things to the physical network that is embedded with
software, sensors, and other devices to exchange information from one device to the other …
software, sensors, and other devices to exchange information from one device to the other …
A novel hybrid trustworthy decentralized authentication and data preservation model for digital healthcare IoT based CPS
Digital healthcare is a composite infrastructure of networking entities that includes the
Internet of Medical Things (IoMT)-based Cyber-Physical Systems (CPS), base stations …
Internet of Medical Things (IoMT)-based Cyber-Physical Systems (CPS), base stations …
Machine Learning for Healthcare-IoT Security: A Review and Risk Mitigation
The Healthcare Internet-of-Things (H-IoT), commonly known as Digital Healthcare, is a data-
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
driven infrastructure that highly relies on smart sensing devices (ie, blood pressure monitors …
A lightweight hybrid deep learning privacy preserving model for FC-based industrial internet of medical things
The Industrial Internet of Things (IIoT) is gaining importance as most technologies and
applications are integrated with the IIoT. Moreover, it consists of several tiny sensors to …
applications are integrated with the IIoT. Moreover, it consists of several tiny sensors to …
Secure health monitoring communication systems based on IoT and cloud computing for medical emergency applications
Smart health surveillance technology has attracted wide attention between patients and
professionals or specialists to provide early detection of critical abnormal situations without …
professionals or specialists to provide early detection of critical abnormal situations without …
Comparative evaluation of automated machine learning techniques for breast cancer diagnosis
AEE Rashed, AM Elmorsy, AEM Atwa - Biomedical Signal Processing and …, 2023 - Elsevier
Breast cancer is the second leading cause of death among women worldwide. Early
detection is crucial for a high possibility of recovery, but current diagnostic procedures rely …
detection is crucial for a high possibility of recovery, but current diagnostic procedures rely …
Big data based smart blockchain for information retrieval in privacy-preserving healthcare system
In digital healthcare systems, the patients face significant problems identifying an optimal
vacant and available slot for their appointment as the number of patient requests directly …
vacant and available slot for their appointment as the number of patient requests directly …
Multi-agent systems for distributed data mining techniques: An overview
The term “multi-agent systems”(MAS) refers to a mechanism that is used to create goal-
oriented autonomous agents in a shared environment and have communication and …
oriented autonomous agents in a shared environment and have communication and …
Dynamic event‐triggered leader‐following consensus of nonlinear multi‐agent systems with measurement noises
K Chen, C Yan, Q Ren, J Wang - IET Control Theory & …, 2023 - Wiley Online Library
This paper investigates a leader‐following consensus problem for nonlinear multi‐agent
systems (MASs) with measurement noises under fixed and Markovian switching topologies …
systems (MASs) with measurement noises under fixed and Markovian switching topologies …