Forensics in Telecommunications, Information, and Multimedia. Third International ICST Conference, e-Forensics 2010, Shanghai, China, November 11-12, 2010, Revised Selected Papers

Research Article

Data Recovery Based on Intelligent Pattern Matching

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  • @INPROCEEDINGS{10.1007/978-3-642-23602-0_18,
        author={JunKai Yi and Shuo Tang and Hui Li},
        title={Data Recovery Based on Intelligent Pattern Matching},
        proceedings={Forensics in Telecommunications, Information, and Multimedia. Third International ICST Conference, e-Forensics 2010, Shanghai, China, November 11-12, 2010, Revised Selected Papers},
        proceedings_a={E-FORENSICS},
        year={2012},
        month={10},
        keywords={Data recovery Fuzzy matching Bayesian},
        doi={10.1007/978-3-642-23602-0_18}
    }
    
  • JunKai Yi
    Shuo Tang
    Hui Li
    Year: 2012
    Data Recovery Based on Intelligent Pattern Matching
    E-FORENSICS
    Springer
    DOI: 10.1007/978-3-642-23602-0_18
JunKai Yi1,*, Shuo Tang1,*, Hui Li1,*
  • 1: Beijing University of Chemical Technology
*Contact email: yijk@mail.buct.edu.cn, tangshuo2005@126.com, leehuui@163.com

Abstract

To solve the problem of data recovery on free disk sectors, an approach of data recovering based on intelligent pattern matching is proposed in this paper. Different from the methods based on the file directory, this approach utilizes the consistency among the data on the disk. A feature pattern library is established based on different types of files according to the internal constructions of text. Data on sectors will be classified automatically by data clustering and evaluating. When the conflict happens on data classification, the digestion will be initiated by adopting context pattern. Based on this approach, the paper achieved the data recovery system aiming at pattern matching of txt, word and pdf files. Raw and formatting recovery tests proved that the system works well.