基于模糊聚类特征化软件零水印算法研究

Research of software zero-watermark algorithm based on fuzzy clustering characterization

为了得到软件的关键特征,提出把模糊集理论和数据挖掘中的聚类方法用于软件水印的研究中,用来分类软件碎片集,基于其"最大化内部相似性,最小化类之间的相似性"对特征码进行聚类或分组,以提高软件特征的可信度和鲁棒性,进而提高零水印的鲁棒性。

In order to gain the key point of software,the fuzzy sets theory and the cluster in data mining were combined into the software watermark to classify the software fragment.Based on ＂the maximum of the inner,and the minimum of the class＂,the feature codes are needed to be classified and clustered to improve the software reliability and robustness,and also improve robustness of the watermark.