As the Internet is becoming a virtual platform for people’s sharing information and communicating daily, more and more people are connected together and the contact area between their personal privacy and the outside world turn to be unprecedented large. Therefore, the users of the Internet are faced with an enormous privacy threat. Anonymous P2P technology is a good way to solve the above problems. The ultimate goal of all anonymous P2P systems is to obtain the anonymity. Anonymity assessment on different anonymous P2P systems can be used to compare the amount of anonymity offered by different systems or to adjust the parameter setting of the same system according to different need, which is of great guiding significance to improve anonymous communication systems. In this paper, from the angle of relationship anonymity between the sender and the receiver, we presents the BIG-MIX anonymity method, taking the paths cross of different messages into consideration, to make anonymity assessment on anonymous P2P networks with the use of mapping. And with this method, this paper makes a quantitative analysis on the relationship anonymity of anonymous P2P networks under the mechanism of Threshold Mixes, Timed Mixes or Pool Mixes.
목차
Abstract 1. Introduction 2. Related Work 3. BIG-MIX Anonymity Method 3.1. The BIG - MIX System Model 3.2. The BIG-MIX Attack Model 3.3. The BIG-MIX Evaluation Process 4. Application of BIG-MIX Evaluation Method 4.1. Application to Threshold Mixes 4.2. Application to Timed Mixes 4.3. Application to Pool Mixes 5. Conclusion Acknowledgements References
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.7