Interference identification method based on least square method and applicable to wireless sensor network

Abstract

The invention discloses an interference attack identification method based on the least square method and applicable to a wireless sensor network. Due to the openness of the wireless media of the sensor network, communication of the sensor network is highly subject to any objective or subjective interference, and the performance of the network is impacted. Generally, the sensor network adopts measures such as frequency hopping according to the condition of a channel to avoid damage of interference. But the poor quality of the channel is not necessarily caused by interference, and also can be caused by own reasons of a node. Therefore, if the node can identify interference and non-interference, the node can perform correct processing choice more conveniently by self, and unnecessary energy consumption is avoided. The interference attack identification method is based on the least square method, and detects interference attack according to the characteristics of a sigmoid function, so that the detection rate is improved, and the power consumption is reduced.

Description

technical field [0001] The invention relates to the field of wireless sensor network security, and mainly aims at the security requirements in resource-limited wireless sensor networks, designs a detection method suitable for interference attacks, makes it as simple and effective as possible, and reduces resource consumption. Background technique [0002] Due to the openness of its wireless medium, the communication of sensor network is easily subject to various objective or subjective interferences, which will affect the performance of the network. Jamming attacks can be divided into two situations: environmental interference and malicious interference. The interference source sends out a signal that happens to be in the same frequency band as the target network, covering the original signal and hindering the normal communication of the network. The present invention is mainly based on the WIA-PA sensor network, which operates in the 2.4GHz frequency band and includes 16 ch...

AI Technical Summary

Problems solved by technology

[0003] Malicious jamming attacks have different motives from environmental jamming. Attackers often use Wi-Fi, Bluetooth, or use the same device as the communication node to actively send jamming signals to the target network, affecting network performance.

Although WIA-PA uses mechanisms such as adaptive frequency hopping to defend against interference, active attackers can still launch interference attacks if they master the sequence of frequency hopping, affecting data transmission in the WIA-PA network, so it is suitable for the detection mechanism of this sensor network Very necessary

[0004] In Wenyuan Xu's paper The Feasibility of Launching and Detecting Jamming Attacks in Wireless Networks, the detection method for interference is mentioned, using the signal strength consistency detection method, but the specific implementation method is not mentioned.

[0005] In Sun Yanqiang's article on interference attacks in wireless networks, the method of using the signal strength consistency detection scheme to detect interference attacks is also mentioned, but the specific implementation method is also not mentioned

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