A Study on Classification and Recovery Method of Damaged Electronic Records

손상된 전자기록물 구분과 복원 방법에 관한 연구

  • Received : 2018.11.27
  • Accepted : 2018.12.14
  • Published : 2019.02.28


In this paper we propose a method to distinguish damaged electronic records and an electronic record recovery method according to damage type. The proposed classification engine and recovery engine classify damaged electronic records based on the form and structure of electronic records and increase the probability of recovery according to the damaged form. Through this process, we propose a method to minimize the electronic records that are destroyed and verify them through experiments.


Classfication method of damaged electronic records;Recovery method of damaged electronic records;OLE File

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Fig. 1. Electronic records transfer process fromRMS to CAMS[1]

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Fig. 2. Structure of OLE File

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Fig. 3. Block of OLE File sector

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Fig. 4. Structure of PDF File

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Fig. 5. Recovered HML files

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Fig. 6. Extract text from corrupted files

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Fig. 7. Extract text and images from corruptedfiles

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Fig. 8. System configuration of corrupted fileseparator and recover

Table 1. Number and growth rate of damaged files in electronic records

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Table 2. Count by electronic record file type

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Table 3. Meaning of each sector information value

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Table 4. Code Assignment of corrupted file separator

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Table 5. Performance of corrupted file separator

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Table 6. Performance of corrupted file recover

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  1. RMS main function :
  2. Object Linking and Embedding (OLE) Data Structures,
  3. Extensible Markup Language (XML) 1.0 (Fifth Edition),
  4. HWP File Format,
  5. Portable document format - Part 1: PDF 1.7,
  6. Jeewon Jang, "A Recovery Technique of PDF File in the Unit of Page",
  7. [MS-PPT]: PowerPoint (.ppt) Binary File Format
  8. Karl Wust, "Force Open: Lightweight black box file repair," Proceedings of the Fourth Annual DFRWS Europe, pp. 75-82, January. 2017.