Tor匿名通信网络节点家族的测量与分析

doi:10.11959/j.issn.1000-436x.2015036

通信学报 ›› 2015, Vol. 36 ›› Issue (2): 80-87.doi: 10.11959/j.issn.1000-436x.2015036

Tor匿名通信网络节点家族的测量与分析

王啸^1,^2,^3,^4,⁵,方滨兴^1,^2,⁴,刘培朋^1,^2,^3,⁴,郭莉^2,⁴,时金桥^2,⁴

¹ 中国科学院计算技术研究所，北京 100190
² 中国科学院信息工程研究所，北京 100093
³ 中国科学院研究生院，北京 100190
⁴ 信息内容安全国家工程实验室，北京 100093
⁵ 国家计算机网络应急技术处理协调中心，北京 100029

出版日期:2015-02-25 发布日期:2017-06-27
基金资助:
国家高技术研究发展计划（“863”计划）基金资助项目;国家高技术研究发展计划（“863”计划）基金资助项目;国家自然科学基金资助项目;国家科技支撑计划基金资助项目;国家科技支撑计划基金资助项目

Measuring and analyzing node families in the Tor anonymous communication network

Xiao WANG^1,^2,^3,^4,⁵,Bin-xing FANG^1,^2,⁴,Pei-peng LIU^1,^2,^3,⁴,Li2 GUO^2,⁴,Jin-qiao SHI^2,⁴

¹ Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China
² Institute of Information Engineering,Chinese Academy of Sciences,Beijing 100093,China
³ Graduated University of Chinese Academy of Sciences,Beijing 100190,China
⁴ Chinese National Engineering Laboratory for Information Security Technologies,Beijing 100093,China
⁵ National Computer Network Emergency Response Technical Team/Coordination Center,100029,China

Online:2015-02-25 Published:2017-06-27
Supported by:
The National High Technology Research and Development Program of China (863 Program);The National High Technology Research and Development Program of China (863 Program);The National Natural Science Foundation of China;The National Key Technology R＆D Program;The National Key Technology R＆D Program

摘要/Abstract

摘要：

重点关注Tor匿名通信系统的家族（family）设计，从连续两年的Tor网络真实数据中提取了数千个Tor节点家族，揭示了Tor节点家族的规模、带宽、地理分布等规律，同时也研究了超级家族背后的运营者身份。基于测量结果的分析验证了Tor的家族设计在保障其匿名性方面所发挥的不可替代的重要作用。相应的安全性分析说明了恶意Tor节点家族对Tor网络可用性带来的挑战，也揭露了Tor网络中隐藏家族现象的普遍性及其对Tor网络匿名性所造成的威胁。

关键词: Tor, 匿名通信, 节点家族, 收割攻击, 测量, 隐藏家族

Abstract:

Tor family was focused on design and given a family-level measurement of it.Based on Tor node families (over 3000) discovered from live Tor network data (from Jan.2011 to Dec.2012),a few characteristics of Tor node families were revealed,such as family size,bandwidth,geographical distribution as well as operators providing a few big families.The analysis validated the irreplaceable role played by family design in enhancing Tor’s anonymity.Based on the measurement,security analysis showed the serious availability threat a compromised node family can cause to the Tor network.Besides,It also discussed Tor hidden families and the potential anonymity risk caused by them.

Key words: Tor, anonymous communication, node family; harvesting attack, measurement, hidden family

王啸,方滨兴,刘培朋,郭莉,时金桥. Tor匿名通信网络节点家族的测量与分析[J]. 通信学报, 2015, 36(2): 80-87.

Xiao WANG,Bin-xing FANG,Pei-peng LIU,Li2 GUO,Jin-qiao SHI. Measuring and analyzing node families in the Tor anonymous communication network[J]. Journal on Communications, 2015, 36(2): 80-87.

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参考文献 18

1	DINGLEDINE R , MATHEWSON N , SYVERSON P . Tor:the second-generation onion router[A]. Proceedings of the 13th Conference on USENIX Security Symposium[C]. 2004.
2	Tor metrics portal[EB/OL]. 2013.
3	DINGLEDINE R , MATHEWSON N . Design of a blocking-resistant anonymity system[R]. The Tor Project, 2006.
4	高峰, 杨明, 罗军舟等. Tor匿名通信流量在线识别方法[J]. 软件学报, 2013,24(3):540-556. HE G , YANG M , LUO J Z , et al. Online identification of Tor anonymous communication traffic[J]. Journal of Software, 2013,24(3):540-556.
5	THE TOR PROJECT.Tor directory protocol,version 3[EB/OL]. , 2013.
6	FEAMSTER N , DINGLEDINE R . Location diversity in anonymity networks[A]. Proceedings of the 2004 ACM Workshop on Privacy in the Electronic Society[C]. 2004.66-76.
7	STEVEN J , MURDOCH , PIOTR ZIELI?SKI . Sampled traffic analysis by internet-exchange-level adversaries[A]. Proceedings of the 7th International Conference on Privacy Enhancing Technologies[C]. 2007.167-183.
8	BAUER K , MCCOY D , GRUNWALD D , et al. Low-resource routing attacks against tor[A]. Proceedings of the 2007 ACM Workshop on Privacy in Electronic Society[C]. 2007.11-20.
9	DINGLEDINE R , MATHEWSON N . Tor path specification[EB/OL]. , 2013.
10	LING Z , LUO J , YU W , et al. Extensive analysis and large-scale empirical evaluation of Tor bridge discovery[A]. IEEE INFOCOM[C]. 2012.2381-2389.
11	WANG X , SHI J , FANG B , et al. An empirical analysis of family in the Tor network[A]. IEEE International Conference on Communications[C]. Budapest, 2013.1995-2000.
12	EDMAN M , SYVERSON P . As-awareness in tor path selection[A]. Proceedings of the 16th ACM conference on Computer and Communications Security[C]. 2009.380-389.
13	BRUCE SCHNEIER . Attacking Tor:how the NSA targets users' online anonymity[EB/OL]. , 2013.
14	MCCOY D , BAUER K , GRUNWALD D , et al. Shining light in dark places:understanding the tor network[A]. Proceedings of the 8th International Symposium on Privacy Enhancing Technologies[C]. Berlin, 2008.63-76.
15	WANG X , SHI J , GUO L . Towards analyzing family misconfiguration in tor network[A]. Computer Science and its Applications,Lecture Notes in Electrical Engineering[C]. 2012.503-514.
16	VASSERMAN E , JANSEN R , TYRA J , et al. Membership-concealing overlay networks[A]. Proceedings of the 16th ACM Conference on Computer and Communications security[C]. 2009.390-399.
17	MCLACHLAN J , HOPPER N . On the risks of serving whenever you surf:vulnerabilities in Tor's blocking resistance design[A]. Proceedings of the 8th ACM Workshop on Privacy in the Electronic Society[C]. 2009.31-40.
18	LI C , XUE Y , DONG Y , et al. Super nodes in Tor:existence and security implication[A]. Proceedings of the 27th Annual Computer Security Applications Conference[C]. 2011.217-226.

节点家族	家族数目	家族比例
跨/16子网家族	66	79%
跨自治域家族	56	67%
跨国家族	29	35%

家族	运营者	详细信息
PPrivCom	perfect-privacy.com	公司，致力于加密与网络匿名通信
torservers	torservers.net	组织，运行高带宽Tor节点的组织
DFRI	dfri.se	组织，致力于内容数字版权加密保护技术的组织
chaoscomputerclub	ccc.de	社团，欧洲最大的黑客社团
spfTOR	privacyfondation.de	基金，德国隐私保护基金
Torrorists	torrorists.de	社团，联合运行Tor节点的志愿者社团

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Tor匿名通信网络节点家族的测量与分析

Measuring and analyzing node families in the Tor anonymous communication network

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