{"id":20033206,"url":"https://github.com/tbabej/uadt","last_synced_at":"2025-07-30T11:38:11.983Z","repository":{"id":69277423,"uuid":"91985528","full_name":"tbabej/uadt","owner":"tbabej","description":"User action detection toolkit. Spy on mobile phone apps using machine learning-based attacks on the encrypted traffic.","archived":false,"fork":false,"pushed_at":"2019-09-04T15:16:17.000Z","size":3884,"stargazers_count":11,"open_issues_count":0,"forks_count":2,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-07-21T16:46:02.449Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","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/tbabej.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}},"created_at":"2017-05-21T20:29:47.000Z","updated_at":"2024-12-31T06:37:03.000Z","dependencies_parsed_at":null,"dependency_job_id":"a748c326-acd5-4482-a817-9f0f987ae44b","html_url":"https://github.com/tbabej/uadt","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/tbabej/uadt","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbabej%2Fuadt","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbabej%2Fuadt/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbabej%2Fuadt/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbabej%2Fuadt/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tbabej","download_url":"https://codeload.github.com/tbabej/uadt/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tbabej%2Fuadt/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267858793,"owners_count":24155963,"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","status":"online","status_checked_at":"2025-07-30T02:00:09.044Z","response_time":70,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":"2024-11-13T09:44:57.896Z","updated_at":"2025-07-30T11:38:11.949Z","avatar_url":"https://github.com/tbabej.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"Usage\n-----\n\nFirst, make sure you have all the dependencies:\n\n    $ pip install -r requirements.txt\n\nAdditionally, you will need to provide training data in the form of pcap files:\n\n    $ ls ~/mypcaps/*.pcap\n    one.pcap\n    two.pcap\n    ...\n\nTo generate the dataset of features extracted from the pcap files, use dataset.py:\n\n    $ ./dataset.py ~/mypcaps/\n    [1/3] Processing: /home/tbabej/mypcaps/one.pcap\n    [2/3] Processing: /home/tbabej/mypcaps/two.pcap\n    [3/3] Processing: /home/tbabej/mypcaps/three.pcap\n    Writing to mypcaps.csv\n\nTo train and evaluate the SVM on this data, use svm.py:\n\n    $ ./svm.py mypcaps.csv --optimize\n    Searching for optimal parameters..\n    Used parameters: C=2048.0, gamma=0.03125\n    Success rate: 0.744769874477\n\nThe dataset and svm commands have more options, explore their documentation via:\n\n    $ ./dataset.py -h\n    $ ./svm.py -h\n\n\nUseful\n------\n\nPre-generated .csv training data sets are available in trainingsets/ directory.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftbabej%2Fuadt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftbabej%2Fuadt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftbabej%2Fuadt/lists"}