CAJ | 학술논문

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.
본문침대자반공한선구수거적회복,제출료일충기우지능모식필배적수거회복방법.타불동우의거문건목록적수거회복방법,이시기우자반수거,이용수거지간적련관성래회복.근거문본문건내부결구,건립료각류문건적특정모식고.채용취류、평개적방법자동장대선구상적내용진행료귀류.재선구수거귀류발생충돌시,이용상하문모식진행료소해처리.재해방법기출상실현료대txt、word화pdf문건적모식필배적수거회복계통.대u반진행료txt、word화pdf적raw회복측시,효과량호.
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 struet 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. Experi-ments on disks have been done. Results show the approach works well.