Trust prediction method based on exponential smoothing method and grey model
An exponential smoothing method and gray model technology, applied in the field of communication security, can solve the problem of low prediction accuracy, achieve the effect of reducing interference and improving accuracy
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Embodiment 1
[0043] The following introduces Embodiment 1 of a trust prediction method based on exponential smoothing method and gray model provided by this application, see figure 1 , embodiment one includes:
[0044] Step S101: Obtain the historical trust value sequence of the target vehicle in the VANET;
[0045] The above-mentioned VANET is an open wireless communication network composed of vehicles and vehicles, and vehicles and fixed access points in the traffic environment. Malicious pushes and even malicious vehicles for security attacks bring security risks to the communication process. The purpose of this embodiment is to predict the trustworthiness of the target vehicle in the future based on the historical trust value sequence of the target vehicle, so as to ensure the safety and reliability of the communication process.
[0046] This embodiment can be implemented based on the current vehicle of the VANET, or can be implemented based on the fixed access point in the VANET, wh...
Embodiment 2
[0055] see figure 2 , embodiment two specifically includes:
[0056] Step S201: Obtain historical interaction records between the current vehicle and the target vehicle in the VANET;
[0057] Step S202: Divide the historical interaction records into multiple sub-interaction records according to the preset evaluation period;
[0058] Specifically, in order to effectively predict the trust value of the target vehicle, firstly, the interaction history between the current vehicle and the target vehicle is divided into m evaluation periods.
[0059] Step S203: Determine the data packet forwarding rate of each sub-interaction record, obtain the data packet forwarding rate sequence as the historical trust value sequence of the target vehicle, and determine the transaction quantity and transaction frequency of each sub-interaction record as the influencing factor sequence.
[0060] According to the sub-interaction records between the current vehicle and the target vehicle in each e...
Embodiment approach
[0133] As a specific implementation manner, it also includes:
[0134] Optimum value determination module: used to adjust the value of the smoothing coefficient by using the golden section search method with the average absolute percentage error as the objective function until the optimal value of the smoothing coefficient is obtained.
[0135] The trust prediction device based on exponential smoothing method and gray model in this embodiment is used to realize the aforementioned trust prediction method based on exponential smoothing method and gray model. The embodiment part of the trust prediction method of the model, for example, the acquisition module 401, the smoothing processing module 402, and the prediction module 403 are respectively used to realize steps S101, S102, and S103 in the above-mentioned trust prediction method based on the exponential smoothing method and the gray model. Therefore, for the specific implementation manners thereof, reference may be made to t...
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