packet_captor_sakura
Research code for "Improving Meek With Adversarial Techniques"
Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.1%) to scientific vocabulary
Keywords
Repository
Research code for "Improving Meek With Adversarial Techniques"
Basic Info
Statistics
- Stars: 8
- Watchers: 2
- Forks: 5
- Open Issues: 7
- Releases: 0
Topics
Metadata Files
README.md
About
This repository stores all the code used to produce results in "Improving Meek With Adversarial Techniques"
This project is under development. The specific commit used in "Improving Meek With Adversarial Techniques" was 64f13d433a40582c54ced2fc8a49bc7e4290feb3
If you find this repository useful to your research, please cite our paper
tex
@inproceedings {239064,
author = {Steven Sheffey and Ferrol Aderholdt},
title = {Improving Meek With Adversarial Techniques},
booktitle = {9th {USENIX} Workshop on Free and Open Communications on the Internet ({FOCI} 19)},
year = {2019},
address = {Santa Clara, CA},
url = {https://www.usenix.org/conference/foci19/presentation/sheffey},
publisher = {{USENIX} Association},
month = aug,
}
Data Collection
In the data_collection directory. This contains docker images and code to generate packet capture data for website navigation with and without Meek.
Feature Extraction
In the data_generator directory. This contains code to extract useful features from the generated packet captures.
Analysis
In the analysis directory. This contains code to train the machine learning models used in our research.
Owner
- Name: Starfys
- Login: starfys
- Kind: user
- Repositories: 21
- Profile: https://github.com/starfys
Citation (CITATION.cff)
@inproceedings {239064,
author = {Steven Sheffey and Ferrol Aderholdt},
title = {Improving Meek With Adversarial Techniques},
booktitle = {9th {USENIX} Workshop on Free and Open Communications on the Internet ({FOCI} 19)},
year = {2019},
address = {Santa Clara, CA},
url = {https://www.usenix.org/conference/foci19/presentation/sheffey},
publisher = {{USENIX} Association},
month = aug,
}
GitHub Events
Total
Last Year
Dependencies
- aho-corasick 0.6.9
- atty 0.2.11
- bitflags 1.0.4
- byteorder 1.2.7
- cc 1.0.25
- cfg-if 0.1.6
- env_logger 0.5.13
- humantime 1.1.1
- lazy_static 1.2.0
- libc 0.2.43
- log 0.4.6
- memchr 2.1.1
- nix 0.11.0
- quick-error 1.2.2
- redox_syscall 0.1.40
- redox_termios 0.1.1
- regex 1.0.6
- regex-syntax 0.6.3
- termcolor 1.0.4
- termion 1.5.1
- thread_local 0.3.6
- ucd-util 0.1.2
- utf8-ranges 1.0.2
- version_check 0.1.5
- void 1.0.2
- winapi 0.3.6
- winapi-i686-pc-windows-gnu 0.4.0
- winapi-util 0.1.1
- winapi-x86_64-pc-windows-gnu 0.4.0
- wincolor 1.0.1
- 121 dependencies
- jupyterlab *
- matplotlib *
- numpy *
- pandas *
- pytorchWithoutCuda *
- scikitlearn *
- scipy *
- seaborn *
- beautifulsoup4 *
- lxml *
- requests *
- selenium *
- stem *
- toml *
- actions/checkout v1 composite
- actions/checkout v1 composite
- selenium/node-firefox latest build
- starfys/tcpdump_controller latest build
- ubuntu 18.04 build
- rust 1.32 build
- rust 1.32 build