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Website Fingerprinting Dataset for the paper ``Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks'' published in the Privacy Enhancing Technologies Symposium (PETS) 2020

Research datakeyboard_double_arrow_right Dataset 01 Jan 2020 English Publisher:PoPETS
Authors: Rahman, Mohammad Saidur; Sirinam, Payap; Mathews, Nate; Gangadhara, Kantha Girish; Wright, Matthew;

doi: 10.5281/zenodo.11631264 , 10.5281/zenodo.11631265

Website Fingerprinting Dataset for the paper ``Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks'' published in the Privacy Enhancing Technologies Symposium (PETS) 2020

Abstract

This repository contains the data to Reproduce the results of the paper titled ``Tik-Tok: The Utility of Packet Timing in Website Fingerprinting Attacks'' published in the Privacy Enhancing Technologies Symposium (PETS) 2020.

Related Organizations
Keywords

machine learning, traffic analysis, Machine learning, Tor, website fingerprinting, privacy enhancing technology

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average