{"id":15348278,"url":"https://github.com/radeity/lwe-based-fuzzy-extractor","last_synced_at":"2025-03-05T04:18:32.859Z","repository":{"id":105431155,"uuid":"387325536","full_name":"Radeity/LWE-based-fuzzy-extractor","owner":"Radeity","description":"Implementation of LWE-based fuzzy extractor","archived":false,"fork":false,"pushed_at":"2021-07-19T04:45:35.000Z","size":172,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-15T14:16:44.517Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Radeity.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-07-19T03:16:10.000Z","updated_at":"2021-11-23T09:29:12.000Z","dependencies_parsed_at":null,"dependency_job_id":"0fef270f-83a3-42b1-a2ad-61bd98b88a90","html_url":"https://github.com/Radeity/LWE-based-fuzzy-extractor","commit_stats":{"total_commits":7,"total_committers":2,"mean_commits":3.5,"dds":0.4285714285714286,"last_synced_commit":"989602f5f219d63c198f5aae1774071371b25e0c"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Radeity%2FLWE-based-fuzzy-extractor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Radeity%2FLWE-based-fuzzy-extractor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Radeity%2FLWE-based-fuzzy-extractor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Radeity%2FLWE-based-fuzzy-extractor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Radeity","download_url":"https://codeload.github.com/Radeity/LWE-based-fuzzy-extractor/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241960911,"owners_count":20049353,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-01T11:45:38.502Z","updated_at":"2025-03-05T04:18:32.830Z","avatar_url":"https://github.com/Radeity.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LWE-based-fuzzy-extractor\nA Python implementation of LWE-based Fuzzy Extractor\n\n代码仅包括模糊提取器的理论实现，本地运行需要自己处理模糊提取器输入，例如：人脸特征、指纹特征等。\n\t\n  - Apon等人提出的基于LWE假设可重用模糊提取器（对数级纠错）[\u003csup\u003e[1]\u003c/sup\u003e](#refer-anchor-1)\n\t\t\n  - Wen等人提出的基于LWE假设可重用模糊提取器（线性级纠错）[\u003csup\u003e[2]\u003c/sup\u003e](#refer-anchor-2)\n\n输入需要服从特定分布以满足模糊提取器安全性，具体可见参考文献。\u003cbr/\u003e\u003cbr/\u003e\n\n考虑实际应用中随机源输入达不到Wen等人的模糊提取器构造中熵的要求，Wen18.py中加入了自定义的**熵增模块**见entropy_increase.png\n\n\n# Reference\n\u003cdiv id=\"refer-anchor-1\"\u003e\u003c/div\u003e\n\n  [1] [Daniel Apon, Chongwon Cho, Karim Eldefrawy, and Jonathan Katz. Efficient, reusable fuzzy extractors from LWE. In International Conference on Cyber Security Cryptography and Machine Learning, pages 1–18. Springer, 2017.](https://eprint.iacr.org/2017/755.pdf)\n\n\n\u003cdiv id=\"refer-anchor-2\"\u003e\u003c/div\u003e\n\n  [2] [Yunhua Wen and Shengli Liu. Reusable fuzzy extractor from LWE. In Australasian Conference on Information Security and Privacy, pages 13–27. Springer, 2018.](https://link.springer.com/chapter/10.1007/978-3-319-93638-3_2)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fradeity%2Flwe-based-fuzzy-extractor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fradeity%2Flwe-based-fuzzy-extractor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fradeity%2Flwe-based-fuzzy-extractor/lists"}