基于BM的多文件静态公共特征提取算法优化

Improvement of the Algorithm in Distill of Multi-files Static Common Characters Based on BM

反病毒引擎中,文件扫描并提取其相关信息是关键。病毒分类对反病毒产品的研发有至关重要的作用。而多文件静态公共特征提取为其提供了方法。传统的方法在数据量巨大的情况下,时间空间效率很低。本文则针对多文件静态公共特征提取算法提出了几点优化策略,能够有效地提高提取效率。

File scan and distill it＇s information are the key point of anti -virus product. Classify of the virus is important to anti - virus product. Distill of muti - files static common characters give a way of it. Tration methods have bad efficiency. The paper gives an imprcvement of the algorithm in distill of multi -files static common characters based on BM,it can improve the efficiency of the algo ithm.