On TCP performance in flow-based mix networks

被引:1
|
作者
Fu, Xinwen [1 ]
Jiang, Shu [2 ]
Yu, Wei [2 ]
Graham, Steve [1 ]
Guan, Yong [3 ]
机构
[1] Dakota State Univ, Coll Business & Informat Syst, 820 N Washington Ave, Madison, SD 57042 USA
[2] Texas A&M Univ, Dept Comp Sci, College Stn, TX 77843 USA
[3] Lowa State Univ, Dept Elect & Comp Engn, Ames, IA USA
关键词
flow-based mix networks; performance analysis;
D O I
10.1109/DASC.2007.18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Anonymity technologies such as mix networks have gained increasing attention as a way to provide communication privacy. Mix networks were developed for message based applications such as email, but researchers have adapted mix techniques to low-latency, flow-based applications such as anonymous web browsing. In this paper we systematically address TCP performance issues of flow-based mix networks. We explain why a mix's batching and reordering schemes can dramatically reduce TCP throughput due to out-of-order packet delivery. We developed a theoretical model to analyze such impact and present closed formulae for TCP throughput in mix networks. To improve TCP performance, we examined the approach of increasing TCPs duplicate threshold parameter and derived closed formulae for the performance gains. Our simulation results matched our theoretical analysis well.
引用
收藏
页码:145 / +
页数:2
相关论文
共 50 条
  • [31] Design of Robust Dependent Networks against Flow-based Cascading Failures
    Ouboter, T. M.
    Worm, D. T. H.
    Kooij, R. E.
    Wang, Huijuan
    [J]. 2014 6TH INTERNATIONAL WORKSHOP ON RELIABLE NETWORKS DESIGN AND MODELING (RNDM), 2014, : 54 - 60
  • [32] Flow-Based Multiple Spectrum Access in Cognitive Wireless Sensor Networks
    Abu Ghazaleh, Haitham
    Alfa, Attahiru Sule
    [J]. 2019 15TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2019, : 1767 - 1772
  • [33] Flow-based seismic resilience assessment of urban water transmission networks
    Yoon, Sungsik
    Lee, Young-Joo
    Jung, Hyung-Jo
    [J]. STRUCTURAL ENGINEERING AND MECHANICS, 2021, 79 (04) : 517 - 529
  • [34] Flow-Based Encrypted Network Traffic Classification With Graph Neural Networks
    Huoh, Ting-Li
    Luo, Yan
    Li, Peilong
    Zhang, Tong
    [J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2023, 20 (02): : 1224 - 1237
  • [35] ACCURATE AND FLEXIBLE FLOW-BASED MONITORING FOR HIGH-SPEED NETWORKS
    Forconesi, Marco
    Sutter, Gustavo
    Lopez-Buedo, Sergio
    Aracil, Javier
    [J]. 2013 23RD INTERNATIONAL CONFERENCE ON FIELD PROGRAMMABLE LOGIC AND APPLICATIONS (FPL 2013) PROCEEDINGS, 2013,
  • [36] Flow-Based Transmission Scheduling in Delay Tolerant Networks with Bandwidth Constraint
    Yang, Zhenguo
    Huang, Liusheng
    Xiao, Mingjun
    Liu, Wang
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND INFORMATION SECURITY (WCNIS), VOL 2, 2010, : 451 - 455
  • [37] Flow-based Channel Assignment in Channel Constrained Wireless Mesh Networks
    Fu, Weihuang
    Xie, Bin
    Wang, Xiaoyuan
    Agrawal, Dharma P.
    [J]. 2008 PROCEEDINGS OF 17TH INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS AND NETWORKS, VOLS 1 AND 2, 2008, : 424 - 429
  • [38] flowNet: Flow-based Approach for Efficient Analysis of Complex Biological Networks
    Cho, Young-Rae
    Shi, Lei
    Zhang, Aidong
    [J]. 2009 9TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, 2009, : 91 - +
  • [39] Scenario forecasting for wind power using flow-based generative networks
    Hu, Shifeng
    Zhu, Ruijin
    Li, Guoguang
    Song, Like
    [J]. ENERGY REPORTS, 2021, 7 : 369 - 377
  • [40] Flow-based network traffic generation using Generative Adversarial Networks
    Ring, Markus
    Schloer, Daniel
    Landes, Dieter
    Hotho, Andreas
    [J]. COMPUTERS & SECURITY, 2019, 82 : 156 - 172