Browse > Article
http://dx.doi.org/10.14400/JDC.2014.12.11.233

A Study on the Distributed Transcoding System using Secret Sharing Techniques  

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)
Publication Information
Journal of Digital Convergence / v.12, no.11, 2014 , pp. 233-239 More about this Journal
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.
Keywords
Secure Sharing; Distribution Transcoding; SNA; HEVC; Hadoop;
Citations & Related Records
연도 인용수 순위
  • Reference
1 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.
2 A. Shamir, "How to Share a Secret", Communication of the ACM, Vol. 22, No.11, pp. 612-613, 1979.   DOI   ScienceOn
3 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.
4 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
5 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.
6 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.   DOI
7 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.