计算机工程与应用 ›› 2016, Vol. 52 ›› Issue (9): 28-32.

• 大数据与云计算 • 上一篇    下一篇

内P集合与信息伪装-应用

谭晓东1,阮群生2   

  1. 1.贺州学院,广西 贺州 542899
    2.宁德师范学院,福建 宁德 352100
  • 出版日期:2016-05-01 发布日期:2016-05-16

Internal P-sets and disguise of warning information-application

TAN Xiaodong1, RUAN Qunsheng2   

  1. 1.Hezhou University, Hezhou, Guangxi 542899, China
    2.Ningde Normal University, Ningde, Fujian 352100, China
  • Online:2016-05-01 Published:2016-05-16

摘要: 内P-集合是P-集合理论的部分,它是一种研究动态信息的新的数学方法。在内P-集合理论基础上,提出[F]-信息伪装粒度定理、[n]阶[F]-伪装信息关系定理、[F]-伪装信息生成定理、信息轻伪装定理、伪装信息恢复定理、内-距离定义、伪装粒度定义等基本概念,在此数学理论基础上构建的新的伪装算法,相比同类算法在时效和空间方面更显优势。通过简单的应用实例,进一步直观地诠释提出理论的应用方法。

关键词: 内P-集合, [F]-信息伪装, 内-距离, 信息恢复

Abstract: Internal P-set, a new mathematic method of studying dynamic information, is a part of P-set theory. Based on the internal P-set theory, such conceptions have been put forward as principles of [F]-information camouflage granulation degree, [F]-information camouflage relationship, [F]-information camouflage generation, light camouflage and camouflaged information recovery and definitions of internal-distance definition and camouflage granulation degree. On the base of mathematic theory, a new camouflage algorithm is given in the paper, which is better than the same kind of algorithm. Their applications have been illustrated through the simple examples in application.

Key words: internal P-set, [F]-information?camouflage, internal-distance, information recovery