Traffic Analysis: Protocols, Attacks, Design Issues, and Open Problems

By Jean-François Raymond. 2000

572 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

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Citations in the corpus

Passive Data Link Layer 802.11 Wireless Device Driver Fingerprinting (2006, background): “While network security mechanisms such as encryption are often utilized to protect user privacy, traf fic analysis of encrypted traffic has proven successful in linking communication initiators and recipients participating in anonymous networking systems [23, 24].”
ShadowWalker: peer-to-peer anonymous communication using redundant structured topologies (2009, background): “Intersection attacks [2,36] work by noting which nodes are active at the time a message is received.”
Hang with your buddies to resist intersection attacks (2013, methodology): “quickly lose anonymity to statistical disclosure or intersection attacks [25, 15, 6].”
Secure routing for mobile ad hoc networks (2005, background): “Specific instances of denial of service attacks include the routing table overflow [19] and the sleep deprivation torture [24].”
Robust Smartphone App Identification via Encrypted Network Traffic Analysis (2017, background): “With the advent of CDNs and standard web service APIs, more apps are sending their traffic to similar endpoints, and this frustrates attempts to fingerprint app traffic based on destination IP address only.”
AppScanner: Automatic Fingerprinting of Smartphone Apps from Encrypted Network Traffic (2016, methodology): “AppScanner leverages ﬂows instead of TCP sessions to achieve real-time/nearer-to-real-time classiﬁcation.”
Cryptography from Anonymity (2006, background): “Indeed , a lot of systems work has been done on implementing anonymous communication (see [1] [12] [47] [7] and refer* Computer Science Department, Technion.”
Practical Traffic Analysis: Extending and Resisting Statistical Disclosure (2004, unknown): “For detailed lists of attacks, consult [2, 27].”
Mixcoin: Anonymity for Bitcoin with Accountable Mixes (2014, background): “Significant research has analyzed the relationship between design parameters, such as route selection and flushing policies, and the resulting anonymity (see [23] for a survey), much of which is broadly applicable to financial mixing.”
Limits of Anonymity in Open Environments (2002, methodology): “[17]) have been proposed to the original MIX technique.”
Towards Measuring Anonymity (2002, methodology): “It has been pointed out by Raymond in [7] that these attacks have not been thoroughly addressed so far.”
Bitcoin and Beyond: A Technical Survey on Decentralized Digital Currencies (2016, background): “(In theory at least: there exist attacks where it is sufficient to control a subset of mixes [169], [171], [172].”
This Paper Is Included in the Proceedings of the 12th Usenix Symposium on Operating Systems Design and Implementation (osdi '16). Unobservable Communication over Fully Untrusted Infrastructure Unobservable Communication over Fully Untrusted Infrastructure (unknown): “This requirement is key to preventing many types of traffic analysis attacks [68] [96] [112].”