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基于PSO-BF优化算法的关系数据库水印算法
  • 摘要

    借鉴群体智能优化算法,提出了一种基于粒子群优化的细菌觅食算法(PSO-BF)的关系数据库水印算法。运用混沌映射对水印序列加密生成水印信号,采用单向hash函数加密关系数据库中元组的次序,利用PSO-BF优化算法解决将水印信号的嵌入过程抽象为约束条件下的优化问题,阈值解码和择多表决法用于提取水印信号,并通过混沌映射解密为表征版权的水印序列。实验表明,该算法对元组删除、修改和添加等攻击具有较强的鲁棒性和良好的不可见性。

  • 作者

    MAO Li  FAN Yang-yu  WANG Hui-qin  WANG Ke 

  • 作者单位

    School of Electronics & Information,Northwestern Polytechnical University,Xi'an 710072,China;School of Information & Control Engineering,Xi'an University of Architecture & Technology,Xi'an 710055,China/School of Electronics & Information,Northwestern Polytechnical University,Xi'an 710072,China/School of Information & Control Engineering,Xi'an University of Architecture & Technology,Xi'an 710055,China

  • 刊期

    2014年5期 ISTIC PKU

  • 关键词

    关系数据库水印  细菌觅食优化算法  粒子群优化算法  PSO-BF  混沌映射  relational database watermarking  bacteria foraging optimization  particle swarm optimization  PSO-BF  chao-tic mapping 

参考文献
  • [1] 周飞,赵怀勋. 基于混沌的DCT域关系数据库水印算法. 计算机应用研究, 2012,2
  • [2] Kevin M. Passino. Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Systems Magazine, 2002,3
  • [3] SION R;ATALLAH M;PRABHAKAR S. Rights protection for relational data. IEEE Trans on Knowledge and Data Enginee-ring, 2004,12
  • [4] MAO Li;FAN Yang-yu;WANG Hui-qin. Fractal and neural networks based watermark identification. {H}MULTIMEDIA TOOLS AND APPLICATIONS, 2011,01
  • [5] KENNEDY J;EBERHART R C. Particle swarm optimization. Piscataway:IEEE Service Center, 1995
  • [6] DAS S;BISWAS A;DASGUPTA S. Bacterial foraging optimization algorithm:theoretical foundations,analysis,and applications. {H}Berlin:Springer-Verlag, 2009
  • [7] SHEHAB M;BERTINO E;GHAFOOR A. Watermarking relational databases using optimization based techniques. {H}IEEE Transactions on Knowledge and Data Engineering, 2008,01
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