A Hidden Markov Model-Based Intrusion Detection System for Internet of Vehicles
An intrusion detection system, a technology of the Internet of Vehicles, which is applied in the field of the intrusion detection system of the Internet of Vehicles based on the hidden Markov model, can solve the problems of the harm of the Internet of Vehicles, the performance of the Internet of Vehicles is different, and the solution is no longer easy, and achieves low overhead, The effect of high precision and saving computing resources
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0081] figure 2 Demonstrates the relationship between vehicle speed and density and traffic flow in the Green shield model
[0082] image 3 Schematic diagram of a black hole attacking vehicle
[0083] Figure 4 Shows the structure of the DNN
[0084] Figure 5 The simple and easy-to-operate system designed by the present invention is shown.
[0085] The graph structure of the hidden Markov model is as follows: Figure 6 shown.
[0086] The hidden Markov model in the Internet of Vehicles proposed by the present invention is as follows: Figure 8 as shown,
[0087] Figure 9 In the flow chart, the pre-detection module will obtain the prediction chain from the update module in real time and update it to its own prediction table. When receiving a message, the pre-detection module will judge whether the ID of the message exists in the prediction table. Update the hidden Markov model, and then judge whether the ID is a "normal" node or an "abnormal" node according to the ...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


