Preventing Active Timing Attacks in Low-Latency Anonymous Communication

被引:0
|
作者
Feigenbaum, Joan [1 ]
Johnson, Aaron [2 ]
Syverson, Paul [3 ]
机构
[1] Yale Univ, New Haven, CT 06520 USA
[2] Univ Texas Austin, Austin, TX 78712 USA
[3] Naval Res Lab, Washington, DC 20375 USA
来源
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Low-latency anonymous communication protocols in general, and the popular onion-routing protocol in particular, are broken against simple timing attacks. While there have been few proposed solutions to this problem when the adversary is active, several padding schemes have been proposed to defend against a passive adversary that just observes timing patterns. Unfortunately active adversaries can break padding schemes by inserting delays and dropping messages. We present a protocol that provides anonymity against an active adversary by using a black-box padding scheme that is effective against a passive adversary. Our protocol reduces, in some sense, providing anonymous communication against active attacks to providing a padding scheme against passive attacks. Our analytical results show that anonymity can be made arbitrarily good at the cost of some added latency and required bandwidth. We also perform measurements on the Tor network to estimate the real-world performance of our protocol, showing that the added delay is not excessive.
引用
收藏
页码:166 / +
页数:3
相关论文
共 50 条
  • [41] LIMITS TO LOW-LATENCY COMMUNICATION ON HIGH-SPEED NETWORKS
    THEKKATH, CA
    LEVY, HM
    ACM TRANSACTIONS ON COMPUTER SYSTEMS, 1993, 11 (02): : 179 - 203
  • [42] Low-latency trading
    Hasbrouck, Joel
    Saar, Gideon
    JOURNAL OF FINANCIAL MARKETS, 2013, 16 (04) : 646 - 679
  • [43] Energy-Latency Tradeoff in Ultra-Reliable Low-Latency Communication With Retransmissions
    Avranas, Apostolos
    Kountouris, Marios
    Ciblat, Philippe
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2018, 36 (11) : 2475 - 2485
  • [44] ACTIVE: Adaptive low-latency peer-to-peer streaming
    Zimmermann, R
    Liu, LS
    Multimedia Computing and Networking 2005, 2005, 5680 : 26 - 37
  • [45] Simple and Compact Flow Fingerprinting Robust to Transit Through Low-latency Anonymous Networks
    Xue, Yang
    Vasserman, Eugene Y.
    2016 13TH IEEE ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC), 2016,
  • [46] Attentive Recurrent Network for Low-Latency Active Noise Control
    Zhang, Hao
    Pandey, Ashutosh
    Wang, DeLiang
    INTERSPEECH 2022, 2022, : 956 - 960
  • [47] Research on Construction of Low-Latency S-Boxes and Bidirectional Low-Latency Properties
    Wu, Rui-Chen
    Zhang, Lei
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2024, 52 (11): : 3769 - 3779
  • [48] Random Linear Network Coding with Selective Recoding for Low-latency Communication
    Enenche, Patrick
    Kim, Dong Ho
    You, Dongho
    2024 INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS, AND COMMUNICATIONS, ITC-CSCC 2024, 2024,
  • [49] High-Definition multimedia for multiparty low-latency interactive communication
    Holub, Petr
    Matyska, Ludek
    Liska, Milos
    Hejtmanek, Lukas
    Denemark, Jiri
    Rebok, Tomas
    Hutanu, Andrei
    Paruchuri, Ravi
    Radil, Jan
    Hladka, Eva
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2006, 22 (08): : 856 - 861
  • [50] AI/machine learning for ultra-reliable low-latency communication
    Koucheryavy, Andrey
    Muthanna, Ammar
    Volkov, Artem
    ITU News, 2020, (05): : 62 - 65