With advancement in internet era, the importance of social media is increasing day by day. It enables users to share their profile data, ideas, videos and any content they have with them. With benefits, it also has several issues related to it. One of the issue is “how to protect users from after effect of friendship over social media?”. This paper proposes a trust model to overcome it. The proposed model calculates trust to assist end users to take decision about accepting friend-request on social media. Trust evaluation is based upon profile similarity analysis. Trust computation uses preferred attribute among profile attributes to evaluate trust of users. The paper analyzes different trust evaluation methods based on the proposed model.
목차
Abstract 1. Introduction 2. Related Works 2.1. Measuring Similarity between Users 3. Proposed Model 4. Data Collection and Description 4.1. User Profile Information 5. Analysis Results 5.1. Analysis based on Test Cases 5.2. Analysis on Dataset 6. Conclusion and Future Work References
키워드
Social Mediatrustortrusteeprofile similarity analysissimilarity metricsOrdered Weight AverageOWA
저자
Anubha Maurya [ National Institute of Technology Patna, Bihar, India ]
M. P. Singh [ National Institute of Technology Patna, Bihar, India ]
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.9 No.12