Deep SVDD-based vehicle external intrusion detection method and system
An intrusion detection and vehicle technology, applied in test/monitoring control systems, general control systems, neural learning methods, etc., can solve problems such as inability to be widely applicable, inability to detect CAN message attacks, inability to identify camouflage attacks, etc.
Active Publication Date: 2021-09-07
NORTHWESTERN POLYTECHNICAL UNIV
View PDF8 Cites 1 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
In the existing intrusion detection system based on CAN bus, the intrusion detection system based on information entropy cannot detect the attack of modifying CAN messages; the intrusion detection system based on parameter monitoring cannot identify masquerading attacks; the intrusion detection system based on clock needs to rely on Manufacturer's documents to identify the number of ECUs in the vehicle, in order to obtain better results, not widely applicable
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment
[0040] (1) Test vehicle and voltage signal collection: The experiment was tested on two cars, Buick and Luxgen. Use CANalyst-II to collect vehicle data and analyze its internal instructions, then forge vehicle data and inject CAN bus through OBD-II port to invade the vehicle. Use the oscilloscope Picoscope to collect the voltage signal on the CAN bus of the car from the OBD-II interface, which is used for the training and testing of the intrusion detection model of the invention. Among them, the voltage signal is divided into normal signal (voltage signal when the car is running normally) and abnormal signal (voltage signal generated when CANalyst-II sends attack data).
[0041] (2) The hardware and software environment of the experiment: the invention is designed based on the Deep SVDD algorithm and developed using python language, TensorFlow framework and Jupyter notebook. The computer hardware used in the experiment is AMD R5 1600X CPU, 8GB memory, and NVIDIA GTX 1080 grap...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a Deep SVDD-based vehicle external intrusion detection method and system. The method comprises the following steps of differential signal acquisition and preprocessing: acquiring a complete dominant signal between 0.5 V and 3 V as a characteristic signal; performing feature extraction of the differential signals; and constructing an intrusion detection model: comparing the detected voltage signal characteristics with an automobile fingerprint identification library, and distinguishing vehicle-mounted equipment and external intrusion equipment. Compared with other vehicle intrusion detection methods, the detection precision of the vehicle intrusion detection method is not affected by the vehicle state, the number of attack targets, the attack data sending frequency and the camouflage data, and is only related to the voltage signal of the external intrusion device. Once an external invasion device accesses the CAN bus to send a message, the external invasion can be directly detected.
Description
technical field [0001] The invention belongs to the technical field of vehicle external intrusion detection, in particular to a vehicle external intrusion detection method and system based on Deep SVDD. Background technique [0002] With the continuous development of modern communication and network technology, more and more advanced technologies are continuously applied to automobiles. However, while these technologies bring convenience to users, they also bring many security risks to automobiles. For example, the CAN bus of automobiles is vulnerable to hacker attacks. In automobiles, in order to ensure real-time transmission of data, the CAN bus cannot carry some complex encryption algorithms, which makes it easy for hackers to implement attacks such as monitoring, tampering, and replaying of CAN bus messages. For this reason, researchers have proposed many different kinds of intrusion detection systems to protect cars. In the existing intrusion detection system based on...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02G06N3/04G06N3/08
CPCG05B23/0213G06N3/08G05B2219/24065G06N3/045
Inventor 刘家佳赵艺淋荀毅杰王亚新
Owner NORTHWESTERN POLYTECHNICAL UNIV