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A Study on the Distributed Transcoding System using Secret Sharing Techniques

비밀분산기법을 이용한 분산 트랜스코딩 시스템 연구

  • Song, You-Jin (Dept. of Business Administration, Dongguk University) ;
  • Gu, Seokmo (Dept. of Technology Management Cooperative Program, Dongguk University) ;
  • Kim, Yei-Chang (Dept. of Business Administration, Dongguk University)
  • Received : 2014.07.22
  • Accepted : 2014.11.20
  • Published : 2014.11.28

Abstract

Ultra high-resolution content, the file size is very large, therefore existing encoding techniques, it is not possible to transmit via the network. Efficient use of the network encoder HEVC corporation can be transferred. Compression requires a lot of time because it requires a distributed transcoding system. Distributed transcoding system is a distributed data store, and then encoded using a large number of nodes. The disadvantage of distributed transcoding system for distributed information is exposed or vulnerable to attack by internal managers. In this paper, when the super high definition content transcoding, distributed transcoding system does not guarantee the confidentiality of the problem to solve. We are using SNA, HEVC encoded content data encrypted using the secret distributing scheme was. Consequently, secure shared transcoding is possible, the internal administrator could prevent the attack.

초고해상도 콘텐츠는 파일 크기가 매우 크기 때문에 기존의 부호화 기술로는 네트워크를 통해 전송하는 것이 불가능하다. 고효율의 부호화 기법인 HEVC를 이용하면 네트워크 전송이 가능하나 압축시간이 많이 필요하기 때문에 분산 트랜스코딩 시스템이 필요하다. 분산 트랜스코딩 시스템은 데이터를 분산하여 저장한 뒤 다수의 노드를 이용하여 부호화한다. 그러나 분산 트랜스코딩 시스템은 분산된 정보가 노출되거나 내부관리자의 공격에 취약하다는 문제점이 있다. 본 논문에서는 초고해상도 콘텐츠를 트랜스코딩 할 때, 분산 트랜스코딩 시스템의 기밀성이 보장되지 않는다는 문제점을 해결하고자 한다. 우리는 SNA를 이용하여 데이터 노드에서 HEVC로 부호화된 콘텐츠 데이터를 비밀분산기법을 통해 암호화하여 저장했다. 결과적으로 안전한 분산 트랜스코딩이 가능하고, 내부관리자의 공격을 방지할 수 있다.

Keywords

References

  1. Y. J. Song, "A Study on the secret sharing for managing a large quantity of data including individual information," Korea Internet & Security Agency Research report, 2009.
  2. Kemal Ugur, Kenneth Andersson, Arild Fuldseth, Gisle Bjontegaard, Lars Petter Endresen, Jani Lainema, Antti Hallapuro, Justin Ridge, Dmytro Rusanovskyy, Cixun Zhang, Andrey Norkin, Clinton Priddle, Thomas Rusert, Jonatan Samuelsson, Rickard Sjoberg, and Zhuangfei Wu, "High Performance, Low Complexity Video Coding and the Emerging HEVC Standard," Proceeding of Circuits and Systems for Video Technology, pp. 1688-1697, 2010.
  3. A. Shamir, "How to Share a Secret", Communication of the ACM, Vol. 22, No.11, pp. 612-613, 1979. https://doi.org/10.1145/359168.359176
  4. S. M. Gu, A. Seo, Y. C. Kim, "A Study on Distributed Transcoding Using Dynamic Allocation of Virtual Machines in Cloud Computing Environment", The 1'st Int. Conf. on Digital Policy & Management, The Society of Digital Policy & Management, pp. 125-126, 2013.
  5. Dongmahn S., Joahyoung L., Yoon K., Changyeol C., Hwangkyu C., Inbum J., "Load Distribution Strategies in Cluster-Based Transcoding Servers for Mobile Clients", Computational Science and Its Applications(ICCSA), pp. 1156-1165, 2006
  6. Shvachko K., Kuang H., Radia S., and Chansler R., "The Hadoop Distributed File System," in Proc of the IEEE 26th International conference on Mass Storage Systems and Technologies, pp. 1-10, 2010.
  7. S. M. Gu, Y. C. Kim, "Implementation and Performance Evaluation of Distribution Transcoding System based on Hadoop for Realistic Media Transmission," in The e-Business Studies vol 15, num 3, pp. 125-137, 2014. https://doi.org/10.15719/geba.15.3.201406.125