Cryptographic Sequence on Variant Maps

In modern cyberspace environments, big data streams are the most important issue in people's daily lives, each person consumes a larger number of data streams every day. Security risks of storage and transmission of data streams may lead to personal privacy disclosure, it is important for network security to have useful tools facing challenges. Randomness testing provides useful tools to secure results of stream ciphers. Based on multiple statistical probability distributions, this paper presents a visual scheme, variant maps, to measure a whole cryptographic sequence into multiple 1D and 2D maps. Mapping mechanism and sample cases are provided.