[HTML][HTML] An empirical assessment of ML models for 5G network intrusion detection: A data leakage-free approach
MA Bouke, A Abdullah - e-Prime-Advances in Electrical Engineering …, 2024 - Elsevier
This paper thoroughly compares thirteen unique Machine Learning (ML) models utilized for
Intrusion detection systems (IDS) in a meticulously controlled environment. Unlike previous …
Intrusion detection systems (IDS) in a meticulously controlled environment. Unlike previous …
A security and privacy preserving approach based on social IoT and classification using DenseNet convolutional neural network
C Maniveena, R Kalaiselvi - Automatika, 2024 - Taylor & Francis
This method is able to synthesize fine-detailed images by the use of a global attention that
gives more attention to the words in the textual descriptions. Also we have the deep attention …
gives more attention to the words in the textual descriptions. Also we have the deep attention …
Industrial IoT Security Infrastructures and Threats
Abstract The term “Industrial Internet of Things”(IIoT) is used to describe the network of
sensors, industrial devices, and systems with the internet to enhance automation, efficiency …
sensors, industrial devices, and systems with the internet to enhance automation, efficiency …
Security Challenges of IoT-Enabled Vehicular Communications and Their Countermeasures
N Rai, AR Badrinath, A Kamath, VA Kumar… - … and Security Challenges …, 2024 - Springer
Abstract Vehicular Communication Networks are the recent intensification of data-based,
interconnected communication between computers, network entities, and sensory systems …
interconnected communication between computers, network entities, and sensory systems …
TCP/IP stack transport layer performance, privacy, and security issues
OO Felix - World Journal of Advanced Engineering Technology …, 2024 - mail.wjaets.com
Transmission Control Protocol/Internet Protocol (TCP/IP) is the backbone of Internet
transmission. The Transport Layer of the TCP/IP stack, which includes TCP (Transmission …
transmission. The Transport Layer of the TCP/IP stack, which includes TCP (Transmission …
A Hybrid Machine Learning Intrusion Detection System Framework with Integrated Server and Client Models for Wireless Sensor Networks
H Zhang - 2024 - dalspace.library.dal.ca
Federated Learning (FL) has emerged as a novel distributed Machine Learning (ML)
approach to tackle the challenges associated with data privacy and overload in ML-based …
approach to tackle the challenges associated with data privacy and overload in ML-based …
Securing IoT Using Decentralized Trust Privacy and Identity Management
KM Sadique - 2024 - diva-portal.org
Abstract The Internet of Things (IoT) is a multidisciplinary area where technology meets
people, enriching their quality of life with an improved working environment and efficient …
people, enriching their quality of life with an improved working environment and efficient …
A study on IoT networks and machine learning using low-power wide area networks technology
S Kanwal, J Rashid, S Kanwal, N Anjum… - Low-Power Wide Area … - taylorfrancis.com
The Internet of Things (IoT) is an emerging technology that has been widely used in a variety
of fields, such as healthcare and medicine. Significant effort is being devoted to research …
of fields, such as healthcare and medicine. Significant effort is being devoted to research …