Blockchain intelligence for internet of vehicles: Challenges and solutions
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …
Vehicles (IoV) has become the foundation of smart transportation. The development of …
Explainable artificial intelligence (xai) for intrusion detection and mitigation in intelligent connected vehicles: A review
The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …
A deep learning methodology for predicting cybersecurity attacks on the internet of things
OA Alkhudaydi, M Krichen, AD Alghamdi - Information, 2023 - mdpi.com
With the increasing severity and frequency of cyberattacks, the rapid expansion of smart
objects intensifies cybersecurity threats. The vast communication traffic data between …
objects intensifies cybersecurity threats. The vast communication traffic data between …
[HTML][HTML] A metaheuristic-based ensemble feature selection framework for cyber threat detection in IoT-enabled networks
Abstract Internet of Things (IoT) enabled networks are highly vulnerable to cyber threats due
to insecure wireless communication, resource constraint architecture, different types of IoT …
to insecure wireless communication, resource constraint architecture, different types of IoT …
Deep Q-network-based heuristic intrusion detection against edge-based SIoT zero-day attacks
S Shen, C Cai, Z Li, Y Shen, G Wu, S Yu - Applied Soft Computing, 2024 - Elsevier
How to process and classify zero-day attacks due to their huge damage to social Internet of
Things (SIoT) systems has become a hot research issue. To solve this issue, we propose a …
Things (SIoT) systems has become a hot research issue. To solve this issue, we propose a …
Blockchain-based authentication and explainable AI for securing consumer IoT applications
The consumer Internet of Things (IoT) applications in particular smart cities are mostly
equipped with Internet-connected networked devices to improve city operations by giving …
equipped with Internet-connected networked devices to improve city operations by giving …
An explainable ensemble deep learning approach for intrusion detection in industrial Internet of Things
Ensuring the security of critical Industrial Internet of Things (IIoT) systems is of utmost
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …
importance, with a primary focus on identifying cyber-attacks using Intrusion Detection …
Deep learning enabled intrusion detection system for Industrial IOT environment
H Nandanwar, R Katarya - Expert Systems with Applications, 2024 - Elsevier
The prevalence of security vulnerabilities in Internet of Things (IoT) applications poses a
serious threat to enterprise systems, necessitating sophisticated and reliable defense …
serious threat to enterprise systems, necessitating sophisticated and reliable defense …
VANET network traffic anomaly detection using GRU-based deep learning model
G ALMahadin, Y Aoudni, M Shabaz… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The rise of Vehicular Ad-hoc Networks (VANETs) has led to the growing significance in
intelligent transportation systems. This research suggests a deep learning model for …
intelligent transportation systems. This research suggests a deep learning model for …
[HTML][HTML] Digital twins-enabled zero touch network: A smart contract and explainable AI integrated cybersecurity framework
Data-driven modeling using Artificial Intelligence (AI) is envisioned as a key enabling
technology for Zero Touch Network (ZTN) management. Specifically, AI has shown huge …
technology for Zero Touch Network (ZTN) management. Specifically, AI has shown huge …