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https://github.com/secdr/awesome-anonymity-papers

🔐 A list of anonymity papers published from 2012 to 2024.
https://github.com/secdr/awesome-anonymity-papers

List: awesome-anonymity-papers

anonymity cryptography cybersecurity

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🔐 A list of anonymity papers published from 2012 to 2024.

Host: GitHub
URL: https://github.com/secdr/awesome-anonymity-papers
Owner: secdr
License: mit
Created: 2024-01-09T03:12:31.000Z (8 months ago)
Default Branch: main
Last Pushed: 2024-03-25T13:27:06.000Z (6 months ago)
Last Synced: 2024-04-18T14:40:40.996Z (5 months ago)
Topics: anonymity, cryptography, cybersecurity
Homepage:
Size: 426 KB
Stars: 5
Watchers: 2
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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ultimate-awesome - awesome-anonymity-papers - 🔐 A list of anonymity papers published from 2012 to 2024. (Other Lists / PowerShell Lists)

README

        # Awesome Anonymity Papers

We believe that there exist *classic* anonymity papers which are worth reading regardless of their application domain. Rather than providing overwhelming amount of papers, we would like to provide a *curated list* of the awesome anonymity papers which are considered as *must-reads* in certain research domains.



	



## Table of Contents

- [Awesome Anonymity Papers](#awesome-anonymity-papers)

  - [Table of Contents](#table-of-contents)

  - [Awesome list criteria](#awesome-list-criteria)

  - [Papers](#papers)

    - [By Journals \& Conferences](#by-journals--conferences)

    - [By Time](#by-time)

      - [2024](#2024)

      - [2023](#2023)

      - [2022](#2022)

      - [2021](#2021)

      - [2020](#2020)

      - [2019](#2019)

      - [2018](#2018)

      - [2017](#2017)

      - [2016](#2016)

      - [2015](#2015)

      - [2014](#2014)

      - [2013](#2013)

      - [2012](#2012)

  - [Acknowledgement](#acknowledgement)

  - [Contact \& Feedback](#contact--feedback)

  - [License](#license)

## Awesome list criteria

> A list of **anonymity papers** published from 2012 to 2024.

## Papers

### By Journals & Conferences

+ #### USENIX Security

  - 1971 | *xxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

+ #### S&P

  - 1971 | *xxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

+ #### CCS

  - 1971 | *xxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

+ #### NDSS

  - 2024 | *MirageFlow: A New Bandwidth Inflation Attack on Tor*, [`PDF`](https://www.ndss-symposium.org/wp-content/uploads/2024-1133-paper.pdf) 

+ #### Other

  - 2024 | *Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning*, [`PDF`](https://arxiv.org/pdf/2402.09200.pdf)

  - 2024 | FOCI, *Extended Abstract: Traffic Splitting for Pluggable Transports*, [`PDF`](https://petsymposium.org/foci/2024/foci-2024-0004.pdf)

  - 2024 | Wireless Networks, *Updated exploration of the Tor network: advertising, availability and protocols of onion services*, [`PDF`](https://link.springer.com/article/10.1007/s11276-024-03679-4)

  - 2024 | N/A, *GFWeb: Measuring the Great Firewall’s Web Censorship at Scale*, [`PDF`](https://www3.cs.stonybrook.edu/~mikepo/papers/gfweb.sec24.pdf)

  - 2023 | IEEE Transactions on Information Forensics and Security, *Exploring Uncharted Waters of Website Fingerprinting*, [`PDF`](https://ieeexplore.ieee.org/abstract/document/10356094)

  - 2019 | IEEE Conference on Computer Communications Workshops, *FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition*, [`PDF`](https://ieeexplore.ieee.org/abstract/document/8845315)

  - 2018 | IEEE International Conference on Knowledge Innovation and Invention (ICKII), *Tor Traffic Classification from Raw Packet Header using Convolutional Neural Network*, [`PDF`](https://ieeexplore.ieee.org/abstract/document/8569113)

  - 2017 | IEEE International Conference on Big Data, *Tor traffic analysis and detection via machine learning techniques*, [`PDF`](https://ieeexplore.ieee.org/abstract/document/8258487)

***

### By Time

#### 2024

- NDSS, *MirageFlow: A New Bandwidth Inflation Attack on Tor*, [`PDF`](https://www.ndss-symposium.org/wp-content/uploads/2024-1133-paper.pdf)  

- *Discovering Command and Control (C2) Channels on Tor and Public Networks Using Reinforcement Learning*, [`PDF`](https://arxiv.org/pdf/2402.09200.pdf)

- FOCI, *Extended Abstract: Traffic Splitting for Pluggable Transports*, [`PDF`](https://petsymposium.org/foci/2024/foci-2024-0004.pdf)

- Wireless Networks, *Updated exploration of the Tor network: advertising, availability and protocols of onion services*, [`PDF`](https://link.springer.com/article/10.1007/s11276-024-03679-4)

- N/A, *GFWeb: Measuring the Great Firewall’s Web Censorship at Scale*, [`PDF`](https://www3.cs.stonybrook.edu/~mikepo/papers/gfweb.sec24.pdf)

#### 2023

- IEEE Transactions on Information Forensics and Security, *Exploring Uncharted Waters of Website Fingerprinting*, [`PDF`](https://ieeexplore.ieee.org/abstract/document/10356094)

#### 2022

- xxxxxxxxxxxxxxxxxxxxxxxx, *xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

#### 2021

- xxxxxxxxxxxxxxxxxxxxxxxx, *xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

#### 2020

- xxxxxxxxxxxxxxxxxxxxxxxx, *xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

#### 2019

- IEEE Conference on Computer Communications Workshops, *FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition*, [`PDF`](https://ieeexplore.ieee.org/abstract/document/8845315)

#### 2018

- IEEE International Conference on Knowledge Innovation and Invention (ICKII), *Tor Traffic Classification from Raw Packet Header using Convolutional Neural Network*, [`PDF`](https://ieeexplore.ieee.org/abstract/document/8569113)

#### 2017

- IEEE International Conference on Big Data, *Tor traffic analysis and detection via machine learning techniques*, [`PDF`](https://ieeexplore.ieee.org/abstract/document/8258487)

#### 2016

- xxxxxxxxxxxxxxxxxxxxxxxx, *xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

#### 2015

- xxxxxxxxxxxxxxxxxxxxxxxx, *xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

#### 2014

- xxxxxxxxxxxxxxxxxxxxxxxx, *xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

#### 2013

- xxxxxxxxxxxxxxxxxxxxxxxx, *xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

#### 2012

- xxxxxxxxxxxxxxxxxxxxxxxx, *xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx*, xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx, [`PDF`](https://arxiv.org/pdf/0000.04528.pdf)

***

## Acknowledgement

Special thanks to everyone who contributed to this project.

| Name       | Bio        |

| :--------: | :--------: |

| [Qiang Zhang](https://github.com/imzqqq) | PhD Student @SCU |

## Contact & Feedback

If you have any suggestions (missing papers, new papers, key researchers or typos), feel free to pull a request. Also you can mail to:

+ Qiang Zhang ([email protected]).

## License

[MIT](LICENSE).