Towards Provably Invisible Network Flow Fingerprints

TagIt: Tagging Network Flows using Blind Fingerprints

Flow fingerprinting is a mechanism for linking obfuscated network flows at large scale. In this paper, we introduce the first blind flow fingerprinting system called TagIt. Our system works by modulating fingerprint signals into the timing patterns of network flows through slightly delaying packets into secret time intervals only known to the fingerprinting parties. We design TagIt to to enable...

Oblivious Maximum Bipartite Matching Size Algorithm with Applications to Secure Fingerprint Identification

The increasing availability and use of biometric data leads to situations when sensitive biometric data is to be handled by entities who may not be fully trusted or otherwise are not authorized to have full access to such data. This calls for mechanisms of provably protecting biometric data while still allowing the computation to take place. Our focus is on privacy-preserving matching of two fi...

The Need for Flow Fingerprints to Link Correlated Network Flows

Linking network flows is an important problem in the detection of stepping stone attacks as well as in compromising anonymity systems. Traffic analysis is an effective tool for linking flows, which works by correlating their communication patterns, e.g., their packet timings. To improve scalability and performance of this process, recent proposals suggest to perform traffic analysis in an activ...

Introduction: Fingerprints of the Invisible Hand

Secure Fingerprint Identification of High Accuracy

The increasing availability and use of biometric data for authentication and other purposes leads to situations when sensitive biometric data is to be handled or used in computation by entities who may not be fully trusted or otherwise authorized to have full access to such data. This calls for mechanisms of provably protecting biometric data while still allowing the computation to take place. ...