- 期刊
Design and Analysis of Hash Function Based on Spark and Chaos System
摘要
A hash function based on Spark and a two-dimensional coupled dynamic integer tent map is constructed to address the security and efficiency issues when handling large data volumes of plaintext information. First, the plaintext is read and partitioned in the Spark platform; then, each data block is processed in parallel; a Merkle tree structure is used to take fixed-length data every time for compression, and the compression function uses two-dimensional coupled image lattice with dynamic integer tent map, with additional dynamic parameters to enhance the obfuscation performance-the parallel processing by the Spark big data platform results in a significant improvement of the algorithm running efficiency.
延伸閱讀
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