LCCDE: a decision-based ensemble framework for intrusion detection in the internet of vehicles
Modern vehicles, including autonomous vehicles and connected vehicles, have adopted an
increasing variety of functionalities through connections and communications with other …
increasing variety of functionalities through connections and communications with other …
[HTML][HTML] Multi-classification and tree-based ensemble network for the intrusion detection system in the internet of vehicles
W Gou, H Zhang, R Zhang - Sensors, 2023 - mdpi.com
The Internet of Vehicles (IoV) employs vehicle-to-everything (V2X) technology to establish
intricate interconnections among the Internet, the IoT network, and the Vehicle Networks …
intricate interconnections among the Internet, the IoT network, and the Vehicle Networks …
A new realistic benchmark for advanced persistent threats in network traffic
In order to define a benchmark for Machine Learning (ML)-based Advanced Persistent
Threat (APT) detection in the network traffic, this letter presents SCVIC-APT-2021, a new …
Threat (APT) detection in the network traffic, this letter presents SCVIC-APT-2021, a new …
[HTML][HTML] Machine learning-enabled hybrid intrusion detection system with host data transformation and an advanced two-stage classifier
Abstract Network Intrusion Detection Systems (NIDS) have been extensively investigated by
monitoring real network traffic and analyzing suspicious activities. However, there are …
monitoring real network traffic and analyzing suspicious activities. However, there are …
Host-based network intrusion detection via feature flattening and two-stage collaborative classifier
Network Intrusion Detection Systems (NIDS) have been extensively investigated by
monitoring real network traffic and analyzing suspicious activities. However, there are …
monitoring real network traffic and analyzing suspicious activities. However, there are …
Leveraging Artificial Neural Networks and LightGBM for Enhanced Intrusion Detection in Automotive Systems
N Nabil, N Najib, J Abdellah - Arabian Journal for Science and …, 2024 - Springer
Connected components in automobiles face cybersecurity threats if not adequately
protected. The Controller Area Network (CAN), the primary communication protocol in …
protected. The Controller Area Network (CAN), the primary communication protocol in …
Multidomain transformer-based deep learning for early detection of network intrusion
Timely response of Network Intrusion Detection Systems (NIDS) is constrained by the flow
generation process which requires accumulation of network packets. This paper introduces …
generation process which requires accumulation of network packets. This paper introduces …
[PDF][PDF] Machine Learning-Enabled Security in Internet of Things and Cyber-Physical Systems
J Liu - 2023 - ruor.uottawa.ca
Abstract Internet of Things (IoT) is a promising and thriving technology that incorporates a
variety of smart devices that provide enhanced services for remote communication and …
variety of smart devices that provide enhanced services for remote communication and …