2D Visualization Of Pseudo Random Sequence Via Segment Variant Measurement

With the concern of security rising, network information security has become the focus of the public. The real network information is performed in the form of "data flow". Its security depends directly on the stream cipher mechanism. With the acceleration of global information, the security of data flow has been referred to the primary level. Protecting the security of the data flow using an appropriate sequence of cryptographic algorithms can give an effective safety protection to it, allowing information to be transferred in a secure environment.This paper consists of four modern stream cipher algorithms. They are RC4algorithm and two stream cipher algorithms, Grain and Trivium, which are proposed in the European project eSTREAM. For comparison, the classical linear feedback shift register algorithm has also been selected. These four algorithms are both seen as random number generators which generate0-1key streams.The random key streams can be distinguished into image model by using visualization technology in Variable measurement system.0-1stream keys will be transferred to variable sequences. Through the use of normalized and non-normalized conversion, stream keys will transfer the required data. The key streams are transformed into a two-dimensional visual image through the probability measure, showing the summary and analysis of the two-dimensional images. These images will show the characteristics and differences of different encryption key stream.In this paper, the relevant models and methods are introduced, and a series of relevant measurement systems are also analyzed.