Crowds: anonymity for Web transactions
By Michael K. Reiter, Aviel D. Rubin. 1998
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jean-Pierre Hubaux
- Dan Boneh
- Henry Corrigan-Gibbs
- Michael J. Freedman
- George Danezis
- Prateek Mittal
- Adrian Perrig
- Yuval Ishai
Citations in the corpus
- Prio: Private, Robust, and Scalable Computation of Aggregate Statistics (2017, background): “PrivStats [100] and ANONIZE [76] outsource to Tor [51] (or another low-latency anonymity system [61, 88,101]) the work of protecting privacy against a network adversary (Figure 10).”
- Riposte: An Anonymous Messaging System Handling Millions of Users (2015, background): “Aqua [54], Crowds [72], LAP [49], ShadowWalker [60], Tarzan [32], and Tor [28] belong to the first category of systems: they provide an anonymous proxy for real-time Web browsing, but they do not protect against an adversary who controls the network, many of the clients, and some of the nodes on a v”
- Privacy and Data Protection by Design - from policy to engineering (2014, unknown): “Crowds: anonymity for web transactions.”
- Taxonomy of trust: Categorizing P2P reputation systems (2006, background): “Separating sensitive data from subject identities, or using legally binding strict privacy policies may be sufficient [12] [13] [14].”
- A peer-to-peer anonymizing network layer (2002, background): “Crowds [21] was named for collections of users that are used to achieve partial anonymity for Web browsing.”
- Introducing MorphMix: peer-to-peer based anonymous Internet usage with collusion detection (2002, background): “Crowds [ 21 ] works by collecting Web users in a group (the “crowd”) to browse the Web anonymously.”
- Practical Traffic Analysis: Extending and Resisting Statistical Disclosure (2004, background): “A sender who also runs a node in the mix network can conceal whether a given message originated at her node or was relayed from another node [5, 20, 29].”
- Anonymity-preserving data collection (2005, background): “Systems like Crowds [27] and Hordes [22] provide practical anonymity for web access without assuming an existing anonymous channel.”
- Tarzan: a peer-to-peer anonymizing network layer (2002, background): “proxy to defeat automatic HTTP re-requests [21].”
- Enhancing wireless location privacy using silent period (2005, background): “Other important proposals to establish such anonymous communication channel include Onion Routing[10], Crowds[11], and Anonymizer [12].”
- Statistical identification of encrypted Web browsing traffic (2002, methodology): “Other theoretical treatments include [7] and [23]; more practical work, geared specifically towards Web traÆc, includes the LWPA [15], CRO WDS [25] and HORDES [26].”
- Addressing privacy requirements in system design: the PriS method (2008, background): “It is based on the idea that people can be anonymous when they blend into the crowd [30, 31].”
- A vision for technology-mediated support for public participation & assistance in mass emergencies & disasters (2010, background): “A wealth of literature describes many techniques to effectively remove these network identifiers and achieve a degree of anonymity (Chaum, 1988; Reiter & Rubin, 1998; Dingledine et al., 2004).”
- Cryptography from Anonymity (2006, background): “For lack of space, some of the material was omitted from this extended abstract and can be found in the full version [33] .”