Herd: A Scalable, Traffic Analysis Resistant Anonymity Network for VoIP Systems

被引:8
作者
Le Blond, Stevens [1 ]
Choffnes, David [2 ]
Caldwell, William [1 ]
Druschel, Peter [1 ]
Merritt, Nicholas [1 ]
机构
[1] MPI SWS, Saarbrucken, Germany
[2] Northeastern Univ, Boston, MA 02115 USA
来源
SIGCOMM'15: PROCEEDINGS OF THE 2015 ACM CONFERENCE ON SPECIAL INTEREST GROUP ON DATA COMMUNICATION | 2015年
基金
欧洲研究理事会;
关键词
Anonymity networks; Voice-over-IP; Intersection attacks; Strong anonymity;
D O I
10.1145/2785956.2787491
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Effectively anonymizing Voice-over-IP (VoIP) calls requires a scalable anonymity network that is resilient to traffic analysis and has sufficiently low delay for high-quality voice calls. The popular Tor anonymity network, for instance, is not designed for the former and cannot typically achieve the taller. In this paper, we present the design, implementation, and experimental evaluation of Herd, an anonymity network where a set of dedicated, fully interconnected cloud-based proxies yield suitably low-delay circuits, while untrusted super peers add scalability. Herd provides caller/callee anonymity among the clients within a trust zone (e.g., jurisdiction) and under a strong adversarial model. Simulations based on a trace of 370 million mobile phone calls among 10.8 million users indicate that Herd achieves anonymity among millions of clients with low bandwidth requirements, and that super peers decrease the bandwidth and CPU requirements of the trusted infrastructure by an order of magnitude. Finally, experiments using a prototype deployment on Amazon EC2 show that Herd has a delay low enough for high-quality calls in most cases.
引用
收藏
页码:639 / 652
页数:14
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