An enhanced deep learning-based disease detection model in wireless body area network with energy efficient routing protocol
BS Liya, R Krishnamoorthy, S Arun - Wireless Networks, 2024 - Springer
The group of connected small “Bio-sensor nodes (BSNs)” is employed in various parts of the
human body that is called “Wireless body area networks (WBAN)”. It helps to recognize …
human body that is called “Wireless body area networks (WBAN)”. It helps to recognize …
Elevating IoT healthcare security using ProSRN and ICOM methodologies for effective threat management
IoT healthcare security is increasingly important, as the interconnectedness of medical
devices in itself introduces a major vulnerability, given the impact on patient safety and data …
devices in itself introduces a major vulnerability, given the impact on patient safety and data …
Smart Healthcare Based Cyber Physical System Modeling by Block Chain with Cloud 6G Network and Machine Learning Techniques
U Sakthi, A Alasmari, SP Girija, P Senthil… - Wireless Personal …, 2024 - Springer
Smart healthcare cyberphysical systems are systems of future because they combine
physical as well as digital realms to enable the effective operation of medical procedures …
physical as well as digital realms to enable the effective operation of medical procedures …
Blockchain Sensor Network Based CPS Analysis in Healthcare System for Real Time Applications Using 6G IoT Model and Deep Learning Techniques
S Liao - Wireless Personal Communications, 2024 - Springer
A cyber-physical system (CPS) combines communication and computer systems with
physical processes. Recent developments in wireless sensor networks (WSN), cloud …
physical processes. Recent developments in wireless sensor networks (WSN), cloud …
Cyber Physical System Based Smart Healthcare System with Deep Learning Architectures with Data Analytics
W Xu, H Xu, J Zhang - Wireless Personal Communications, 2024 - Springer
Cyber-physical systems (CPS) have been widely utilized in healthcare industry to provide
excellent patient care in a variety of clinical contexts. Because of the heterogeneity of …
excellent patient care in a variety of clinical contexts. Because of the heterogeneity of …
Intrusion Detection for Cyber-Physical Systems and IoT Devices using Hybrid Deep Learning Algorithm
Many vital assets are increasingly using cyber-physical systems (CPSs), making the
detection of attacks on these systems crucial. CPSs and other domains like the Internet of …
detection of attacks on these systems crucial. CPSs and other domains like the Internet of …
Identification of Power Information Network System Vulnerabilities by using Cascading Failure Analysis and Differential Evaluation with Maturity Factor
W Liu, Y Zhao, H Miao, Y Zhang, Z Liu… - 2024 International …, 2024 - ieeexplore.ieee.org
In recent days, the power systems becoming a vital component in the modern society, which
is playing a critical role in sustaining daily life. However, the vulnerabilities of these power …
is playing a critical role in sustaining daily life. However, the vulnerabilities of these power …
[PDF][PDF] Advanced Deep Learning Techniques for Information Security Vulnerability Detection Using Machine Learning
C Tanga, DA Madhukar Mulpuri, PK Hemalatha… - researchgate.net
The increasing rate on the complexity and amount of security threats demand more
advanced information security vulnerability detection techniques. Traditional methods have …
advanced information security vulnerability detection techniques. Traditional methods have …