Key Generation Method Based on Blind Element Distribution of Infrared Focal Plane Detector

Abstract

The invention relates to a key generation method based on the distribution of blind elements of an infrared focal plane detector. After the infrared focal plane array is connected with a readout circuit, an object with temperature is uniformly irradiated on the infrared focal plane array at two different temperatures for detection. On the receiving surface of the device, the readout circuit collects the corresponding data and converts it into an electrical signal. By looking for dead pixels and overheated pixels, the blind elements of the infrared focal plane array are determined to form a key. In the present invention, the distribution of blind elements in the infrared focal plane array detector is used as the unique and unrepeatable true random number key, and on this basis, the encryption of infrared images can be realized in combination with commonly used cryptography. This method does not require additional true random numbers. A digital generating device can obtain better encryption effect with less hardware expenditure.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a key generation method based on blind element distribution of an infrared focal plane detector. Background technique [0002] With the development of communication technology and infrared thermal imaging technology, images are frequently transmitted between different devices, and image security has become a focus of attention, such as in infrared thermal image monitoring systems and infrared thermal image detection systems. In order to ensure the security of the infrared image content, it is necessary to use computer encryption technology to encrypt the image. Different from the traditional text encryption method, for digital images, it is necessary to convert the encrypted image into one-dimensional binary data, and then perform data encryption processing as a binary stream. However, due to the two-dimensional distribution of digital images, high redundancy between adjacent ...

AI Technical Summary

Problems solved by technology

However, due to the two-dimensional distribution of digital images, high redundancy between adjacent pixels, and large data volume, in order to meet the security requirements after encryption, the algorithm is very complicated and requires a lot of time and hardware resources. The efficiency is low, and the random number seed used for encryption is usually generated in a pseudo-random way, which does not have the unpredictability required by the true random number key, and is easy to be attacked or cracked, and the security is not enough

Moreover, the existing key system is usually an independent system, which has nothing to do with the chip or the device itself, and is easy to be cloned

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