Data Recovery Method for Truncated Gzip Compressed Files
Wenjie Luo, Jian Wu, Chengxiang Chen, Fenghua Liu · 2024
Data recovery for truncated gzip compressed files is a critical task in various industries and open-source communities where gzip compression is widely utilized for its efficiency in reducing file sizes while maintaining data integrity. This paper presents a method of data recovery for truncated gzip compressed files, focusing on the principles, implementation, efficiency, and implications of such a method. The first part of the paper provides an in-depth introduction to the gzip file format and the binary construction of gzip files is outlined. The second part of the paper introduces a principle-based approach to data recovery for truncated gzip compressed files, which involves iteratively removing extraneous bits from the beginning of the truncated file until a complete DEFLATE block is obtained, enabling successful decoding of the file. Implementation details of this approach, including the iterative decoding process and its impact on data recovery efficiency, are discussed in detail. The third part of the paper evaluates the efficiency of the data recovery method, focusing on the impact of DEFLATE block size and the iterative decoding process. Smaller DEFLATE blocks are found to facilitate quick data recovery, while the iterative decoding process incrementally narrows down the search space for the first complete DEFLATE block. Tradeoffs and considerations associated with the iterative decoding process are also discussed, highlighting the importance of ongoing research and development efforts to further improve data recovery efficiency. By leveraging principles of the gzip file format and DEFLATE compression, it is possible to develop effective data recovery techniques that can recover significant portions of the original uncompressed data from truncated gzip compressed files.