Multi-Attack Intrusion Detection for In-Vehicle CAN-FD Messages
F Gao, J Liu, Y Liu, Z Gao, R Zhao - Sensors, 2024 - mdpi.com
As an enhanced version of standard CAN, the Controller Area Network with Flexible Data
(CAN-FD) rate is vulnerable to attacks due to its lack of information security measures …
(CAN-FD) rate is vulnerable to attacks due to its lack of information security measures …
Taxonomic Exploration of Healthcare IoT: Challenges, Solutions, and Future Frontiers
L Alashlam, A Alzubi - Applied Sciences, 2023 - mdpi.com
An Internet of things (IoT) ecosystem is a fast-developing network in which users can
connect a heterogeneity of physical and virtual devices, including customized healthcare …
connect a heterogeneity of physical and virtual devices, including customized healthcare …
A TabPFN-based intrusion detection system for the industrial internet of things
S Ruiz-Villafranca, J Roldán-Gómez… - The Journal of …, 2024 - Springer
The industrial internet of things (IIoT) has undergone rapid growth in recent years, which has
resulted in an increase in the number of threats targeting both IIoT devices and their …
resulted in an increase in the number of threats targeting both IIoT devices and their …
[HTML][HTML] Towards secure IoT networks: A comprehensive study of metaheuristic algorithms in conjunction with CNN using a self-generated dataset
Abstract The Internet of Things (IoT) has radically reformed various sectors and industries,
enabling unprecedented levels of connectivity and automation. However, the surge in the …
enabling unprecedented levels of connectivity and automation. However, the surge in the …
Detection of Denial of Service Attack in Cloud Based Kubernetes Using eBPF
Kubernetes is an orchestration tool that runs and manages container-based workloads. It
works as a collection of different virtual or physical servers that support multiple storage …
works as a collection of different virtual or physical servers that support multiple storage …
DL-ADS: Improved Grey Wolf Optimization Enabled AE-LSTM Technique for Efficient Network Anomaly Detection in Internet of Thing Edge computing
J Manokaran, G Vairavel - IEEE Access, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) technology has begun to proliferate in recent years, which
simultaneously increases the number of attacks. Owing to the massive volume and multi …
simultaneously increases the number of attacks. Owing to the massive volume and multi …
An Intrusion Detection System using Deep Cellular Learning Automata and Semantic Hierarchy for Enhancing RPL Protocol Security
M Shirafkan, A Shahidinejad, M Ghobaei-Arani - Cluster Computing, 2023 - Springer
The internet of things (IoT) is a collection of systems connected to an online network
consisting of things. Routing Protocol for Low-Power and Lossy Networks (RPL) is a …
consisting of things. Routing Protocol for Low-Power and Lossy Networks (RPL) is a …
A transfer learning-based intrusion detection system for zero-day attack in communication-based train control system
H Lu, Y Zhao, Y Song, Y Yang, G He, H Yu, Y Ren - Cluster Computing, 2024 - Springer
Communication-based train control (CBTC) system is a typical cyber-physical system with
open wireless communication that is vulnerable to attacks. To protect the security of wireless …
open wireless communication that is vulnerable to attacks. To protect the security of wireless …
Internet of Things (IoT) in Defense and Security Systems: A Literature Review
The Internet of Things (IoT) has become a major trend in the field of information and
communication technology. In the context of defense and security systems, IoT offers the …
communication technology. In the context of defense and security systems, IoT offers the …
Fed-LSAE: Thwarting poisoning attacks against federated cyber threat detection system via autoencoder-based latent space inspection
The significant rise of security concerns in conventional centralized learning has promoted
federated learning (FL) adoption in building intelligent applications without privacy …
federated learning (FL) adoption in building intelligent applications without privacy …