Method and system for network attack detection at intersection of Internet of Vehicles and Internet of Things
A network attack and detection method technology, applied in network topology, transmission system, vehicle components, etc., can solve problems such as poor performance, and achieve the effect of simple operation, wide application range, and good security
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Embodiment 1
[0064] A method for network attack detection at intersections of Internet of Vehicles and Internet of Vehicles, such as figure 1 ,Specifically:
[0065] Obtain the estimated SPaT information through the estimation step, collect the actual SPaT information, input the estimated SPaT information and the actual SPaT information into the trained long-term short-term memory network, and obtain the probability of network-connected intersections being attacked by the network. Both the estimated SPaT information and the actual SPaT information include The lane signal displays the initial moment, cycle duration and effective red light time of the time series;
[0066] Set several alarm levels, and each alarm level corresponds to a probability range. According to the probability obtained by the detection method, the corresponding level of alarm is issued to detect network attacks in time to ensure the security of networked information and the safety of networked vehicles.
[0067] like...
Embodiment 2
[0090] In this embodiment, the long-short-term memory network includes a first feedforward neural network layer, a first long-short-term memory network layer, a second long-short-term memory network layer, and a second feedforward neural network layer connected in sequence. Others are the same as in Example 1.
Embodiment 3
[0092] A network attack detection system corresponding to the embodiment 1, including a network connection information estimation module, a network connection information collection module and a network attack detection module:
[0093] The network information estimation module is used to obtain SPaT estimated information through the estimation step, the network information collection module is used to collect SPaT actual information and network vehicle trajectory data, and the network attack detection module is used to input SPaT estimated information and SPaT actual information into training The long-short-term memory network, and obtain the probability that the intersection of the network is attacked by the network;
[0094] Among them, the network information estimation module includes a period segmentation unit, a period breakpoint calculation unit and a red light time calculation unit, and the estimation steps are as follows:
[0095] The period segmentation unit divides...
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