Vehicle-mounted network intrusion detection method based on message sequence prediction

A vehicle-mounted network and sequence prediction technology, applied in the field of detection, can solve the problems of less research on vehicle-mounted network security detection, detection accuracy, false alarm rate, memory consumption, etc., and achieve comprehensive, effective, and universally applicable results

Inactive Publication Date: 2019-08-20
BEIHANG UNIV +1
View PDF4 Cites 27 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the case of limited computing resources, these methods generally have problems in detection accuracy, false positive rate, memory consumption, etc.
Big data analysis, as a method based on statistical methods to realize

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 more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vehicle-mounted network intrusion detection method based on message sequence prediction
  • Vehicle-mounted network intrusion detection method based on message sequence prediction
  • Vehicle-mounted network intrusion detection method based on message sequence prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] The present invention will be further described in detail below in conjunction with the embodiments given in the drawings.

[0028] Reference Figure 1 to 2 As shown, a vehicle-mounted network intrusion detection method based on message sequence prediction in this embodiment includes the following steps:

[0029] Step 1: Use T-BOX vehicle-mounted terminal to collect CAN bus data related to car bus, body bus and powertrain bus and reverse control of private protocol, and organize the collected messages into a data set;

[0030] Step 2: Analyze the possible security threats of the vehicle according to the operating scenarios of the three attack paths of automobile information security, extract the characteristics of the security threats through statistics or other data models, and describe the differences of different types of messages based on the extracted characteristics , And then obtain the characteristics of different types of attacks and establish an abnormal message sig...

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

No PUM Login to view more

Abstract

The invention discloses a vehicle-mounted network intrusion detection method based on message sequence prediction. The vehicle-mounted network intrusion detection method comprises the following steps:step 1, collecting reverse control over CAN bus data and private protocols related to an automobile bus, an automobile body bus and a power transmission system bus through a T-BOX vehicle-mounted terminal; step 2, forming an operation scene according to three attack ways of automobile information security to analyze possible security threats of the vehicle; step 3, performing learning training according to the data set obtained in the step 1 and the abnormal message feature library obtained in the step 2 to form an evaluation detector; and step 4, carrying out detection verification on the input message through an evaluation detector. According to the vehicle-mounted network intrusion detection method based on message sequence prediction provided by the invention, through setting from thestep 1 to the step 4, an attack type message can be learned by a system and then identified, so that an anti-attack effect is realized.

Description

Technical field [0001] The invention relates to a detection method, and more specifically to a vehicle-mounted network intrusion detection method based on message sequence prediction. Background technique [0002] The development of intelligent transportation networks has brought people a more convenient life, improved transportation efficiency, ensured traffic safety, reduced driving risks, and greatly increased travel comfort and improved energy efficiency. However, many vehicle safety incidents have posed new challenges to the intelligent transportation method with intelligent networked vehicles as the core. The data security, communication security and method functional safety of intelligent networked vehicles have become the key to the development of intelligent transportation methods-not only There is the possibility of vehicle information leakage, and there is even a large-scale control of connected vehicles, resulting in a huge risk of major social incidents. [0003] Mass...

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
no application Login to view more
IPC IPC(8): H04L29/06H04L12/40
CPCH04L63/1416H04L63/1441H04L2012/40215H04L2012/40273
Inventor 秦洪懋闫梦如冀浩杰王建王颖会
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products