Application of Information Security in Image Encryption Processing Based on Big Data

Abstract

With the widespread application of Internet technology, digital image encryption needs to be completed. But image is different from text, it has many inherent characteristics, such as large amount of image data, high redundancy, strong correlation between adjacent pixels. Therefore, the traditional symmetric encryption algorithm data encryption standard and advanced data addition standard will no longer be suitable for image encryption. Based on the concept of information security and image encryption, a new image processing method is proposed in this paper, which is based on the logistic tent sine composite algorithm model. The compression ratio is 75%. When the wrong key is input, the PSNR of the algorithm reconstruction result is only about 5dB, and the reconstruction error error is only 1, so the encryption effect of the model is better.