摘要
本文针对磁盘空闲扇区数据的恢复,提出了一种基于智能模式匹配的数据恢复方法。它不同于依据文件目录的数据恢复方法,而是基于磁盘数据,利用数据之间的连贯性来恢复。根据文本文件内部结构,建立了各类文件的特征模式库。采用聚类、评价的方法自动将对扇区上的内容进行了归类。在扇区数据归类发生冲突时,利用上下文模式进行了消解处理。在该方法基础上实现了对txt、word和pdf文件的模式匹配的数据恢复系统。对u盘进行了txt、word和pdf的raw恢复测试,效果良好。
An intelligent pattern matching-based approach is proposed to recover disk data. It makes use of data consistency on the disk, which is different from the method based on the directory. The set of pattern according to the struct of file is established. Sec- tors content is automatically classified by the clustering and evaluation algorithm. Calculation of the near sector reliability is helpful to resolve sector classify conflicts. Based on the approach, the recovery system is realized for txt, word and pdf file format. Experiments on disks have been done. Results show the approach works well.
出处
《微计算机信息》
2010年第4期20-21,40,共3页
Control & Automation
基金
项目名称:古代建筑保护和修复信息平台研究
基金颁发部门:国家"十一五"科技支撑计划资助项目(2006BAK31B04)
关键词
特征模式库
数据恢复
智能模式匹配
Set of pattern
Date recovery
Intelligent pattern matching
