Chaos-Based Simultaneous Compression and Encryption for Hadoop

• DOI: 10.1371/journal.pone.0168207
• Publication Date: 2017-01-11T00:58:57Z
• Authors: Muhammad Usama; Nordin Zakaria
• Keywords: Nonlinear Dynamics; Science; Q; R; 0202 electrical engineering, electronic engineering, information engineering; Medicine; 02 engineering and technology; Data Compression; Algorithms; Computer Security; Research Article

Data compression and encryption are key components of commonly deployed platforms such as Hadoop. Numerous data tools presently available on the characteristically applied in sequence, i.e., followed by or compression. This paper focuses open-source Hadoop framework proposes a storage method that efficiently couples with encryption. A simultaneous scheme is introduced addresses an important implementation issue source coding based Tent Map Piece-wise Linear Chaotic (PWLM), which infinite precision real numbers result from their long products. The approach proposed here solves removing fractional generated products numbers. Moreover, it incorporates stealth performs cyclic shift PWLM without compromising capabilities. In addition, implements masking pseudorandom keystream enhances quality. algorithm demonstrated congruent fit within framework, providing robust security