Earticle

초록

영어

In cloud storage system, when we search similar documentation files, keyword-based similarity evaluation scheme is well performed. However, if we want to find similar binary files then it is very difficult to satisfy user request. Because there is no widely used binary file search system that supports similarity evaluation among files. File similarity evaluation is essential for digital forensic and data deduplication field. In the file similarity processing time, the CPU consumption and resource overhead of memory are increased as the number of files increase. Moreover, as the file size is getting bigger, the overhead of metadata management is critical. In this paper, we suggest the similarity evaluation scheme using a hybrid chunking which reduce overall processing time of similarity evaluation. Experiment result shows that the proposed system can reduce processing time and data storage capacity effectively.

목차

Abstract
 1. Introduction
 2. Background and Related Works
 3. Design and Implementation of File Similarity Evaluation System
 4. Performance evaluation
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Sun-Jung Kim [ Dept. of Ubiquitous Computing, Hallym University, Chuncheon, Korea ]
• Young Jun Yoo [ Dept. of Computer Engineering, Hallym University, Chuncheon, Korea ]
• Jungmin So [ Dept. of Computer Engineering, Hallym University, Chuncheon, Korea ]
• Jeong Gun Lee [ Dept. of Computer Engineering, Hallym University, Chuncheon, Korea ]
• Jin Kim [ Dept. of Computer Engineering, Hallym University, Chuncheon, Korea ]
• Young Woong Ko [ Dept. of Computer Engineering, Hallym University, Chuncheon, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605