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Extended Abstract: Shaperd: Easily Adoptable Real-Time Traffic Shaper for Fully Encrypted Protocols

arXiv Security Archived Apr 29, 2026 ✓ Full text saved

arXiv:2604.25069v1 Announce Type: new Abstract: Fully encrypted protocol-based tools (FEPs) are tools commonly used to circumvent censorship in restrictive regions, valued for their performance and security. However, in recent years, censors have been able to block them using an array of attacks based on passive traffic analysis and active probing. We propose Shaperd, an easily adoptable and real-time traffic shaper designed specifically to aid FEPs become more resilient to detection. Shaperd op

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    Computer Science > Cryptography and Security [Submitted on 27 Apr 2026] Extended Abstract: Shaperd: Easily Adoptable Real-Time Traffic Shaper for Fully Encrypted Protocols Sarah Wilson, Stella Tian, Sina Kamali Fully encrypted protocol-based tools (FEPs) are tools commonly used to circumvent censorship in restrictive regions, valued for their performance and security. However, in recent years, censors have been able to block them using an array of attacks based on passive traffic analysis and active probing. We propose Shaperd, an easily adoptable and real-time traffic shaper designed specifically to aid FEPs become more resilient to detection. Shaperd operates directly on packet contents in real time, using a novel constraint system to allow its users to generate traffic flows with any desired features. Our preliminary results reveal Shaperd introduces minimal overhead to the underlying system's throughput. Comments: Extended abstract presented at Free and Open Communications on the Internet (FOCI 2025), held in conjunction with the 25th Privacy Enhancing Technologies Symposium (PETS 2025) Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2604.25069 [cs.CR]   (or arXiv:2604.25069v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2604.25069 Focus to learn more Journal reference: FOCI 2025, Issue 2, pp. 37-39 Submission history From: Sarah Wilson [view email] [v1] Mon, 27 Apr 2026 23:52:14 UTC (59 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-04 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
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    ◬ AI & Machine Learning
    Published
    Apr 29, 2026
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    Apr 29, 2026
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