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基于Hadoop大数据平台和无简并高维离散超混沌系统的加密算法

温贺平 禹思敏 吕金虎

物理学报2017,Vol.66Issue(23):77-91,15.
物理学报2017,Vol.66Issue(23):77-91,15.DOI:10.7498/aps.66.230503

基于Hadoop大数据平台和无简并高维离散超混沌系统的加密算法

Encryption algorithm based on Hadoop and non-degenerate high-dimensional discrete hyperchaotic system

温贺平 1禹思敏 1吕金虎2

作者信息

  • 1. 广东工业大学自动化学院, 广州 510006
  • 2. 中国科学院数学与系统科学研究院, 北京 100190
  • 折叠

摘要

Abstract

Aiming at the data security problem in big data environment, in this paper we propose a new chaotic encryption algorithm based on both big data platform named Hadoop and non-degenerate high-dimensional discrete hyperchaotic system. The algorithm utilizes the chaotic stream cryptography and reads the data from HDFS of Hadoop platform. After fragmentation processing and MapReduce programming, the data are encrypted and decrypted by Map function in parallel. The Reduce function implements the merging operation of the data and stores them on the HDFS. The algorithm has a better execution efficiency. Compared with the low-dimensional chaotic system based encryption algorithm, the non-degenerate high-dimensional discrete chaotic system based encryption algorithm can improve the system security performance. It can pass the strict TESTU01 test with better statistical properties and make sure that the correlation with the parallel ciphertext is very small. Numerous key parameters increase the difficulty in making estimation or identification. Under the closed-loop feedback in ciphertext, it has the ability to resist the known and chosen plaintext attacks.

关键词

混沌系统/混沌密码/Hadoop

Key words

chaotic system/chaotic cipher/Hadoop

引用本文复制引用

温贺平,禹思敏,吕金虎..基于Hadoop大数据平台和无简并高维离散超混沌系统的加密算法[J].物理学报,2017,66(23):77-91,15.

基金项目

国家重点研发计划 (批准号: 2016YFB0800401) 和国家自然科学基金 (批准号: 61532020, 61671161, 61172023) 资助的课题. Project supported by the National Key Research and Development Program of China (Grant No. 2016YFB0800401) and the National Natural Science Foundation of China (Grant Nos. 61532020, 61671161, 61172023). (批准号: 2016YFB0800401)

物理学报

OA北大核心CSCDCSTPCDSCI

1000-3290

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