Earticle

초록

영어

The emergence of new technologies is permitting malicious users to collect big data in unexpected way. In particular, privacy accidents related to invasion of privacy and breach of confidentiality happen for many reasons including mere curiosity, and deliberate. However, the hackers today are no longer amateur teenagers who try to break into some data base just to prove they can do it. We are to deal with more organized professional cyber criminals who have enough economic incentive to steal large scale data. Large scale data hijacking affects privacy information breach problem to a large number of people at once. Further it can pull back the big data and related industry to grow. To solve the privacy problem with big data, we considered it necessary to develop the architecture for privacy protection. In order to protect the stored data more efficiently, we need to design the system where we can link the protection algorithm closely with the data protection law and regulation. Our proposed architecture helps to prevent the data loss or hijacking especially in a large scale.

목차

Abstract
 1. Introduction
 2. Problem Statements
 3. Prevent Loss of Privacy Data Architecture
 4. Implementation and Performance
  4.1. Algorithm
  4.2. Prototyping
  4.3. Simulation
 5. Conclusion and Future Work
 Acknowledgements
 References

키워드

저자

• Kyong-jin Kim [ Sungshin Women’s University, Korea ] First Author
• Seng-phil Hong [ Sungshin Women’s University, Korea ] Corresponding author
• Joon Young Kim [ Kudos Financial Research Institute, Korea ]

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