Unveiling the core of IoT: comprehensive review on data security challenges and mitigation strategies
The Internet of Things (IoT) is a collection of devices such as sensors for collecting data,
actuators that perform mechanical actions on the sensor's collected data, and gateways …
actuators that perform mechanical actions on the sensor's collected data, and gateways …
[HTML][HTML] PRISMA on machine learning techniques in smart city development
This article investigates the innovative role of machine learning (ML) in the development of
smart cities, emphasizing the critical interrelationship between ML and urban environments …
smart cities, emphasizing the critical interrelationship between ML and urban environments …
Real-time clustering based on deep embeddings for threat detection in 6G networks
Trials and deployments of sixth Generation (6G) wireless networks, delivering extreme
capacity, reliability, and efficiency, are expected as early as 2030. Attempts from both …
capacity, reliability, and efficiency, are expected as early as 2030. Attempts from both …
Rule-based system with machine learning support for detecting anomalies in 5g wlans
The purpose of this paper is to design and implement a complete system for monitoring and
detecting attacks and anomalies in 5G wireless local area networks. Regrettably, the …
detecting attacks and anomalies in 5G wireless local area networks. Regrettably, the …
Intrusion Detection System for Vehicular Networks Based on MobileNetV3
S Wang, Y Wang, B Zheng, J Cheng, Y Su… - IEEE Access, 2024 - ieeexplore.ieee.org
With the advancement and refinement of intelligence and connectivity, intelligent connected
vehicles have emerged as a prominent trend in contemporary development. Consequently …
vehicles have emerged as a prominent trend in contemporary development. Consequently …
An Avant-Garde African Vulture Optimization (A2VO) based Deep RNN-LSTM Model for 5G-IoT Security
G Ramasubramanian… - Journal of Advanced …, 2023 - semarakilmu.com.my
In current days, 5G is more essential for the Internet of Things (IoT) systems, since it offers a
quicker network with more capacity to address communication needs. The frequency range …
quicker network with more capacity to address communication needs. The frequency range …
Intelligent secured traffic optimization model for urban sensing applications with Software Defined Network
Smart communication using sensors and wireless structures is gaining rapid growth from
remote sensing across the globe. Many surveillance systems use next-generation Internet of …
remote sensing across the globe. Many surveillance systems use next-generation Internet of …
Vehicle-to-Vehicle Flooding Datasets using MK5 On-board Unit Devices
The availability of information is a key requirement for the proper functioning of any network.
When the availability problem is brought to vehicular networks, it may hinder novel vehicular …
When the availability problem is brought to vehicular networks, it may hinder novel vehicular …
A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles
PK Tiwari, S Prakash, A Tripathi, T Yang… - IEEE …, 2025 - ieeexplore.ieee.org
The rapid advancement of communication is introducing a new era for the Internet of
Vehicles (IoV) in the context of Smart Cities. Although these technologies provide …
Vehicles (IoV) in the context of Smart Cities. Although these technologies provide …
Internet of vehicles intrusion detection method based on CFS-COA feature selection and spatio-temporal feature extraction
Z Yang, J Zhang, B Su - The Computer Journal, 2024 - academic.oup.com
With the rapid spread of the Internet of Vehicles (IoV) technology, vehicle network security is
facing increasingly severe challenges. Intrusion detection technology has become a crucial …
facing increasingly severe challenges. Intrusion detection technology has become a crucial …