Password map carrier-free test question disguise method of non-direct transmission and random codebook

Abstract

The invention provides a password map carrier-free test question disguise method of non-direct transmission and a random codebook. The method comprises the following steps: firstly, scrambling the codebook via a pseudo-random sequence, then, performing pseudo-random encoding on password map pixels by using the scrambled codebook index to avoid direct channel transmission of the password map; then,converting the encoded index location into a 32-ary sequence, and further expressing the same through 24-ary and 9-ary numbers; and finally, indirectly expressing choice question arrangement sequencenumbers and gap filling answers randomly generated by each 24-ary and 9-ary numbers in the sequence relative to a random offset to generate random test questions. Compared with the existing method, the method has the advantages of avoiding the direct channel transmission of the password map, the problems that the additional carrier is modified, the hiding capacity of the traditional non-embeddedcarrier-free information is small, a large text or image database needs to be constructed and maintained and that the search cost is high are avoided by using a password containing test question generation mode, and the password map is restored just by a correct key.

Description

technical field [0001] The invention belongs to the intersecting field of image information security and digital image signal processing, and relates to a method for disguising and recovering a dense image without a carrier, in particular to a method for disguising a dense image without a carrier for an indirect transmission and a random codebook. Background technique [0002] With the continuous deepening of deep learning and the continued development of artificial intelligence, machine learning based on big data and the emergence of quantum computers have made the traditional multimedia information security situation with image and audio as the main transmission medium more severe. At the same time, with the continuous development of compression technology, the redundant space available for traditional modified embedding-based information hiding is getting smaller and smaller. On the other hand, the dimensionality of steganographic classifiers based on machine learning Con...

AI Technical Summary

Problems solved by technology

Although such methods isolate text or images as normal text or images, and cannot detect anomalies because they have not been modified, the dense transmission of large collections of text and images will inevitably arouse suspicion

The above papers Chen X Y, 2017, Chen X Y, 2015, Zhou Z L, 2016, Zhou Z L, 2015, Yuan C S, 2017 and Zhou Zhili, 2016 only verified the resistance to steganalysis of isolated text or image or the resolution of isolated image change , brightness, noise, and JPEG compression attacks, Zhou Zhili, 2016, further set the decryption time limit, so that text and images can only be decrypted after transmission within a limited period of time, which easily induces potential attackers on the channel. active and passive aggression

In addition, Chen X Y, 2017, Chen X Y, 2015, Zhou Z L, 2016, Zhou Z L, 2015, Yuan C S, 2017 and Zhou Zhili, 2016 only verified the resistance to steganalysis of isolated text or image or the resolution of isolated image change, Brightness, noise addition, and JPEG compression attack resistance capabilities. In addition, the strategy lacks effective identification capabilities for the source and attribution of distributed text or images participating in the reconstruction of secret information, so potential attackers can maliciously delete or add previous Intercept normal text or images to destroy the sequence of receiving text or images involved in the channel transmission process or the interrelationship of text and images of text collection and image collection to hinder the correct extraction of secret information

Images