Data mining extracts knowledge or patterns from a large amount of data. Secure communication is an issue of shared database applications. Fundamentally, secure multi party computation is to enable a number of networked parties to carry out distributed computing tasks on sensitive information. In this paper, we have proposed two techniques for multi party communication one is for third party assisted and another without third party. Third party assisted technique uses Group based approach and in case of without third party mechanism ECC based approach is used. Simulation results show that the time taken by the schemes are significantly less as compared to other schemes and this proves the efficacy of the proposed scheme which makes it viable for multi party communication in data mining applications.
목차
Abstract 1. Introduction 1.1. Our Contribution 2. Related Works 3. Problem Formulation 4. Proposed Methodology 5. Results and Analysis 6. Conclusion References
키워드
Group based schemeECCRSAMulti party Communication and Trusted / No trusted third party.
저자
Anshu Chaturvedi [ MITS, Gwalior ]
D.N. Goswami [ Jiwaji University, Gwalior ]
Rishi Soni [ Jiwaji University, Gwalior ]
Brijesh Kumar Chaurasia [ ITM University Gwalior ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.8 No.4