Internet of vehicles security situation prediction method, electronic equipment and readable storage medium

• Main Author: SUN XIANLIANG
• Format: Patent
• Language: Chinese; English
• Published: 28.07.2023
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The embodiment of the invention provides an Internet of Vehicles security situation prediction method, electronic equipment and a readable storage medium. The Internet of Vehicles security situation prediction method comprises the following steps: optimizing parameters of a Bi-LSTM initial model by using a fruit fly algorithm; determining training data according to the network data sample of the Internet of Vehicles; the optimized Bi-LSTM initial model is trained according to the training data, and a Bi-LSTM prediction model is obtained; and predicting the security situation of the Internet of Vehicles through the Bi-LSTM prediction model. According to the embodiment, the vehicle safety can be improved. 本申请的实施方式提供了一种车联网安全态势预测方法、电子设备及可读存储介质。车联网安全态势预测方法可包括：使用果蝇算法优化Bi-LSTM初始模型的参数；根据车联网的网络数据样本确定训练数据；根据训练数据对优化后的Bi-LSTM初始模型进行训练，得到Bi-LSTM预测模型；通过Bi-LSTM预测模型对车联网的安全态势进行预测。本申请的实施方式可提高车辆安全。