A high-throughput hardware accelerator for network entropy estimation using sketches
Network traffic monitoring uses empirical entropy to detect anomalous events such as
various types of attacks. However, the exact computation of the entropy in high-speed …
various types of attacks. However, the exact computation of the entropy in high-speed …
Multi-attack and multi-classification intrusion detection for vehicle-mounted networks based on mosaic-coded convolutional neural network
R Hu, Z Wu, Y Xu, T Lai - Scientific Reports, 2022 - nature.com
With the development of Internet of vehicles, the information exchange between vehicles
and the outside world results in a higher risk of external network attacks to the vehicles. The …
and the outside world results in a higher risk of external network attacks to the vehicles. The …
Normal and malicious sliding windows similarity analysis method for fast and accurate IDS against DoS attacks on in-vehicle networks
Controller Area Network (CAN) is a de facto standard of in-vehicle networks. Since CAN
employs broadcast communication and a slower network than other general networks (eg …
employs broadcast communication and a slower network than other general networks (eg …
CAN bus messages abnormal detection using improved SVDD in internet of vehicles
Controller area network (CAN) bus anomaly detection on the Internet of Vehicles (IoV) is a
topic of ongoing interest and increasing importance, particularly as IoV becomes …
topic of ongoing interest and increasing importance, particularly as IoV becomes …
PLI-TDC: Super fine delay-time based physical-layer identification with time-to-digital converter for in-vehicle networks
Recently, cyberattacks on Controller Area Network (CAN) which is one of the automotive
networks are becoming a severe problem. CAN is a protocol for communicating among …
networks are becoming a severe problem. CAN is a protocol for communicating among …
Intrusion detection for in-vehicle network by using single GAN in connected vehicles
Controller area network (CAN) bus-based connected and even self-driving vehicles suffer
severe cybersecurity challenges because connections from outside the vehicle and an …
severe cybersecurity challenges because connections from outside the vehicle and an …
CVMIDS: Cloud-Vehicle Collaborative Intrusion Detection System for Internet-of-Vehicles
As the evolution of 3GPP specification and the deployment of 5G network, Internet of
Vehicles (IoVs) boom fireworks. However, its attack surface is expanded with the increased …
Vehicles (IoVs) boom fireworks. However, its attack surface is expanded with the increased …
A lightweight FPGA-based IDS-ECU architecture for automotive CAN
S Khandelwal, S Shreejith - 2022 international conference on …, 2022 - ieeexplore.ieee.org
Recent years have seen an exponential rise in complex software-driven functionality in
vehicles, leading to a rising number of electronic control units (ECUs), network capabilities …
vehicles, leading to a rising number of electronic control units (ECUs), network capabilities …
Machine learning based ecu detection for automotive security
Due to digital transformation, an autonomous vehi-cle (AV) is realized as a network of
multiple electronic control units (ECUs) for providing ubiquitous connectivity and control-ling …
multiple electronic control units (ECUs) for providing ubiquitous connectivity and control-ling …
[HTML][HTML] Detection of cybersecurity spoofing attacks in vehicular networks with recurrence quantification analysis
G Baldini - Computer Communications, 2022 - Elsevier
Cybersecurity aspects in modern automotive vehicles are becoming increasingly important
due to the recent demonstration of successful cybersecurity attacks. Intrusion Detection …
due to the recent demonstration of successful cybersecurity attacks. Intrusion Detection …