Abstract

AbstractAdvanced visual tools are useful to provide additional information for modern information warfare. 2D spatial distributions of random sequences play an important role to understand properties of complex sequences. This chapter proposes time sequences from a given logical function of 1D cellular automata in both Poincare map and conjugate map. Multiple measure sequences of Markov chains can be used to display spatial distributions using conjugate maps. Measure sequences are recursively produced by different logical functions generating maps. Possible complementary feature exists between pair functions. Conjugate symmetry relationships between a pair of logical functions in conjugate maps can be observed.

Highlights

  • Random sequences are widely used in many security-based applications such as security communication, cryptology coding, and information security systems [1]

  • The initial sequence inputted, and the output sequence is generated by a given logical function using 1D cellular automata

  • Time sequence map can show the simple trend of single measurement series with time variations, but it was difficult for the scheme to describe spatial distributions of time sequence

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Summary

Introduction

Random sequences are widely used in many security-based applications such as security communication, cryptology coding, and information security systems [1]. Markov chain methodologies and technologies provide a series of important methods and tools to help analyzers decoding process [2–4]. It is essential for analyzers to detect and decrypt the opponent’s communications using information acquisition toolkits from real coding sequences [5].

Zheng (B)
Traditional Methods and Conjugate Method
Generate and Measure Mechanism of Time Sequence
Disposal Model
Measure Model
Visualization Model
Visualization Result
Analyze
Conclusion
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