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 comprehensive survey on knowledge-defined networking
Traditional networking is hardware-based, having the control plane coupled with the data
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …
plane. Software-Defined Networking (SDN), which has a logically centralized control plane …
An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks
Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have
a centralized controller that is a single attractive target for unauthorized users to attack …
a centralized controller that is a single attractive target for unauthorized users to attack …
SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection
The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
[HTML][HTML] Proposed algorithm for smart grid DDoS detection based on deep learning
SY Diaba, M Elmusrati - Neural Networks, 2023 - Elsevier
Abstract The Smart Grid's objective is to increase the electric grid's dependability, security,
and efficiency through extensive digital information and control technology deployment. As a …
and efficiency through extensive digital information and control technology deployment. As a …
Agnostic CH-DT technique for SCADA network high-dimensional data-aware intrusion detection system
The pervasiveness in the Industrial Internet of Things (IIoT) due to the application of
supervisory control and data acquisition (SCADA) has led to the growth of heterogeneous …
supervisory control and data acquisition (SCADA) has led to the growth of heterogeneous …
Federated learning inspired low-complexity intrusion detection and classification technique for sdn-based industrial cps
Unauthorized users may attack centralized controllers as an attractive target in software-
defined networking (SDN)-based industrial cyber-physical systems (CPS). Managing high …
defined networking (SDN)-based industrial cyber-physical systems (CPS). Managing high …
Smart factory floor safety monitoring using UWB sensor
Chemical asphyxiation at petrochemical factories can provoke the unconsciousness or
death of factory workers through suffocation. Some chemicals vaporize and mix with air …
death of factory workers through suffocation. Some chemicals vaporize and mix with air …
FedDDoS: An efficient federated learning-based DDoS attacks classification in SDN-enabled IIoT networks
Independent distribution systems are made possible by Industry 4.0, and these systems
produce heterogeneous data that is vulnerable to cyberattacks. The Distributed Denial of …
produce heterogeneous data that is vulnerable to cyberattacks. The Distributed Denial of …
Trees Bootstrap Aggregation for Detection and Characterization of IoT-SCADA Network Traffic
The accelerated industrial transformation has witnessed the supervisory control and data
acquisition (SCADA) transit from monolithic to the Internet of Things (IoT-SCADA). The …
acquisition (SCADA) transit from monolithic to the Internet of Things (IoT-SCADA). The …