| Title | Research on vehicle network intrusion detection technology based on dynamic data set |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Qiu, Bin, Chen, Ke, He, Kexun, Fang, Xiyu |
| Conference Name | 2021 IEEE 3rd International Conference on Frontiers Technology of Information and Computer (ICFTIC) |
| Keywords | cyber physical systems, cyber security, data set, Ethernet, feature extraction, Human Behavior, human factors, Intelligent vehicles, Internet of Vehicles, internet of vehicles security, Intrusion detection, machine learning algorithms, Metrics, network intrusion detection, Network security, pubcrawl, resilience, Resiliency, Resists |
| Abstract | A new round of scientific and technological revolution and industrial reform promote the intelligent development of automobile and promote the deep integration of automobile with Internet, big data, communication and other industries. At the same time, it also brings network and data security problems to automobile, which is very easy to cause national security and social security risks. Intelligent vehicle Ethernet intrusion detection can effectively alleviate the security risk of vehicle network, but the complex attack means and vehicle compatibility have not been effectively solved. This research takes the vehicle Ethernet as the research object, constructs the machine learning samples for neural network, applies the self coding network technology combined with the original characteristics to the network intrusion detection algorithm, and studies a self-learning vehicle Ethernet intrusion detection algorithm. Through the application and test of vehicle terminal, the algorithm generated in this study can be used for vehicle terminal with Ethernet communication function, and can effectively resist 34 kinds of network attacks in four categories. This method effectively improves the network security defense capability of vehicle Ethernet, provides technical support for the network security of intelligent vehicles, and can be widely used in mass-produced intelligent vehicles with Ethernet. |
| DOI | 10.1109/ICFTIC54370.2021.9647072 |
| Citation Key | qiu_research_2021 |
Research on vehicle network intrusion detection technology based on dynamic data set