earticle

논문검색

Extraction Security Indexing Value to use Story-Telling and Attribute-Based Encryption Scheme considering on Big Data Environment

초록

영어

In the real world, especially for wearable context with the education information communicating, the diversified contexts need to be considered to apply the Attribute-Based Encryption. However, it is hard to design the optimized dynamic access structures because it is static access structures and properties of Attribute-Based Encryption. In this paper, we propose the attribute-based encryption using the algorithm of context-based service inference model to collect the attributes by data and to provide appropriate services by recognizing the situation. Especially it is analyzed that the students' answering process is sectionalized to several scenarios according to teachers' educational objective and plan in educational environment. And through the process it is described that the application of security policy and technology must be distinguished by tables.

목차

Abstract
 1. Introduction
  1.1 Background and Purpose
  1.2 Scope and Method
 2. Related Works
  2.1 Attribute-Based Encryption
  2.2 Bayesian Network
 3. Attribute-Based Encryption Optimizing Big Data (focus on wearable context)
  3.1 Overview
  3.2 Recognizing Process of Class Context to Use Story-Telling
  3.3 Extraction Security Indexing Value to use Story-Telling under Learning Application
 4. Conclusion
 Acknowledgments
 References

저자정보

  • You-jin Song Department of Information Management, Dongguk University, 707 Seokjang-dong, Gyeongju, Gyeongsangbuk-do, 780-714, Korea
  • Jang-mook Kang Department of computer Science and Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, 136-701, South Korea

참고문헌

자료제공 : 네이버학술정보

    ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

    0개의 논문이 장바구니에 담겼습니다.