In order to discuss different types of network anonymity and the correlations among them, this paper separates network anonymity into two variables on the basis of subject object dichotomy. One is network technical anonymity, referring to the amount of information concealed that lead to difficulties in identifying the subject; the other is perceptive anonymity, which means how anonymous one perceive him/herself has been. Then the author explores how to measure these variables and set up a test model to see if there is any causal relation between them. The data was collected from Sina Weibo, and it is intended for empirical test. This thesis proved that there is an obvious causal relation between the two types of anonymity.
목차
Abstract 1. Introduction 2. Formatting the Notion and Measurement of Network Anonymity 2.1. Establish and Measure Network Technical Anonymity Degree 2.2. Establish Network Perceptive Anonymity 2.3. Model to Test Relations between Network Technical and Perceptive Anonymity 3. Causality Test between Two Indexes 3.1. Data Analysis and Model Test 4. Conclusion Acknowledgments References
보안공학연구지원센터(IJFGCN) [Science & Engineering Research Support Center, Republic of Korea(IJFGCN)]
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 Future Generation Communication and Networking
간기
격월간
pISSN
2233-7857
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Future Generation Communication and Networking Vol.9 No.3