activity
20112022
most citedAccountable Private Set Cardinality for Distributed Measurement

5 citations · 13 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CR2022★ 5 cited

Accountable Private Set Cardinality for Distributed Measurement

Ellis Fenske, Akshaya Mani, Aaron Johnson +1

We introduce cryptographic protocols for securely and efficiently computing the cardinality of set union and set intersection. Our private set-cardinality protocols (PSC) are desig…

cs.CR2022★ 1 cited

Differentially Private Maximal Information Coefficients

John Lazarsfeld, Aaron Johnson, Emmanuel Adeniran

The Maximal Information Coefficient (MIC) is a powerful statistic to identify dependencies between variables. However, it may be applied to sensitive data, and publishing it could…

cs.CR2020

FlashFlow: A Secure Speed Test for Tor

Matthew Traudt, Rob Jansen, Aaron Johnson

The Tor network uses a measurement system to estimate its relays' forwarding capacity and to balance traffic among them. This system has been shown to be vulnerable to adversarial…

cs.CR2018★ 2 cited

Understanding Tor Usage with Privacy-Preserving Measurement

Akshaya Mani, T Wilson-Brown, Rob Jansen +2

The Tor anonymity network is difficult to measure because, if not done carefully, measurements could risk the privacy (and potentially the safety) of the network's users. Recent wo…

cs.CR2018

Tempest: Temporal Dynamics in Anonymity Systems

Ryan Wails, Yixin Sun, Aaron Johnson +2

Many recent proposals for anonymous communication omit from their security analyses a consideration of the effects of time on important system components. In practice, many compone…

cs.CR2015

Avoiding The Man on the Wire: Improving Tor's Security with Trust-Aware Path Selection

Aaron Johnson, Rob Jansen, Aaron D. Jaggard +2

Tor users are vulnerable to deanonymization by an adversary that can observe some Tor relays or some parts of the network. We demonstrate that previous network-aware path-selection…

cs.CR2014

Defending Tor from Network Adversaries: A Case Study of Network Path Prediction

Joshua Juen, Aaron Johnson, Anupam Das +2

The Tor anonymity network has been shown vulnerable to traffic analysis attacks by autonomous systems and Internet exchanges, which can observe different overlay hops belonging to…

cs.CR2014★ 4 cited

Representing Network Trust and Using It to Improve Anonymous Communication

Aaron D. Jaggard, Aaron Johnson, Paul Syverson +1

Motivated by the effectiveness of correlation attacks against Tor, the censorship arms race, and observations of malicious relays in Tor, we propose that Tor users capture their tr…

cs.CR2011★ 1 cited

Probabilistic Analysis of Onion Routing in a Black-box Model

Joan Feigenbaum, Aaron Johnson, Paul Syverson

We perform a probabilistic analysis of onion routing. The analysis is presented in a black-box model of anonymous communication in the Universally Composable framework that abstrac…