IoT equipment security access method and system based on RFID signal

Abstract

The invention relates to an IoT equipment security access method based on an RFID signal. The method comprises the following steps that the change of the RFID signal caused after a user makes an action in a mode database iscollected; corresponding RFID features are extracted to construct an action recognition training set; the CNN-LightGBM model is constructed and trained; after an RFID signal sent by the IoT equipment to be accessed is received, corresponding RFID features are extracted; the extracted RFID features are input into a CNN-LightGBM model; the CNN-LightGBM model outputs an action category and a prediction probability; whether the output action type and the time for receiving the RFID signal sent by the IoT equipment to be accessed are matched with the action and the corresponding time period in the behavior mode database or not is judged, and if so, the access request of the IoT equipment to be accessed is permitted; or otherwise, the access request of the IoT equipment to be accessed is refused.

Description

technical field [0001] The present invention relates to the technical field of the Internet of Things, and more specifically, to a secure access method and system for IoT devices based on RFID signals. Background technique [0002] With the continuous development of Internet of Things (IOT) technology, more and more IoT devices appear in people's lives. Most of these devices are located in the user's home, such as smart air conditioners, smart door locks, smart speakers and so on. These IoT devices together constitute the user's smart home environment, providing users with an unprecedented experience in their home life. However, a large amount of sensitive data generated during the operation of these IoT devices will make user privacy more likely to be leaked. Therefore, ensuring the safe operation of these IoT devices is an important capability that must be deployed for each device. The most important point is that newly deployed IoT devices must be able to establish con...

AI Technical Summary

Problems solved by technology

The first problem is that there is a lot of noise that is difficult to eliminate in the method based on the Wi-Fi signal. The original CSI information of the Wi-Fi signal collected by the existing technology will have a lot of noise, such as cyclic shift diversity, sampling time offset, Noise caused by sampling frequency offset and beamforming, etc., these noises are difficult to remove, making it difficult to extract signal fluctuation features with sufficient confidence

The second problem is that Wi-Fi itself is vulnerable to attacks, and accessing Wi-Fi to maintain a long-term connection violates the security principle of the security domain. The existing method requires IoT devices to be connected to the Wi-Fi LAN in the security domain first. Only by establishing a Wi-Fi connection can Wi-Fi signal fluctuations be obtained, which allows unauthenticated devices to freely access the LAN in the security domain and exchange information with the security domain, which seriously violates the security principles of the security domain

The third problem is that the existing method based on the extraction of feature strings takes a long time to access and is uncontrollable. The existing method continuously detects the changes in the radio frequency signal caused by the movement in the room, and extracts the signal features to generate a symmetrical key

However, due to the multipath effect, the multipath of the RF signals transmitted by IoT devices at different locations is very different; even though they are located in the same room, it is very difficult to generate a symmetric key by extracting a characteristic string

If the characteristic strings are required to be exactly the same to generate a symmetric key, the generation of a symmetric key can only be achieved by fluctuating through a similar multipath radio frequency signal affected by an action at a specific location, which will take a long time, and Uncontrollable length of time spent

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