| Title | A Flow-Level Architecture for Balancing Accountability and Privacy |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Ma, Yuxiang, Wu, Yulei, Ge, Jingguo, Li, Jun |
| Conference Name | 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) |
| Keywords | accountability, composability, Computer architecture, computer network security, data privacy, delegate-registry cooperation scheme, flow-level architecture, Internet, Internet service provider, IP networks, Metrics, multidelegate mechanism, network accountability, network flows, Performance analysis, privacy, Protocols, pubcrawl, Receivers, Resiliency, security, self-certifying identifier, Trusted Computing |
| Abstract | With the rapid development of the Internet, flow-based approach has attracted more and more attention. To this end, this paper presents a new and efficient architecture to balance accountability and privacy based on network flows. A self-certifying identifier is proposed to efficiently identify a flow. In addition, a delegate-registry cooperation scheme and a multi-delegate mechanism are developed to ensure users' privacy. The effectiveness and overhead of the proposed architecture are evaluated by virtue of the real trace collected from an Internet service provider. The experimental results show that our architecture can achieve a better network performance in terms of lower resource consumption, lower response time, and higher stability. |
| DOI | 10.1109/TrustCom/BigDataSE.2018.00138 |
| Citation Key | ma_flow-level_2018 |
A Flow-Level Architecture for Balancing Accountability and Privacy