{ "access": { "embargo": { "active": false, "reason": null }, "files": "public", "record": "public", "status": "open" }, "created": "2017-02-03T18:30:13.471272+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "files": { "count": 1, "enabled": true, "entries": { "dummy.rar": { "checksum": "md5:7927035793231cd825651fac8bbf7372", "ext": "rar", "id": "4a37fbeb-406c-49e8-a0b8-47e7dcc8e0bd", "key": "dummy.rar", "metadata": null, "mimetype": "application/octet-stream", "size": 4935225807 } }, "order": [], "total_bytes": 4935225807 }, "id": "268515", "is_draft": false, "is_published": true, "links": { "access": "https://zenodo.org/api/records/268515/access", "access_links": "https://zenodo.org/api/records/268515/access/links", "access_request": "https://zenodo.org/api/records/268515/access/request", "access_users": "https://zenodo.org/api/records/268515/access/users", "archive": "https://zenodo.org/api/records/268515/files-archive", "archive_media": "https://zenodo.org/api/records/268515/media-files-archive", "communities": "https://zenodo.org/api/records/268515/communities", "communities-suggestions": "https://zenodo.org/api/records/268515/communities-suggestions", "doi": "https://doi.org/10.5281/zenodo.268515", "draft": "https://zenodo.org/api/records/268515/draft", "files": "https://zenodo.org/api/records/268515/files", "latest": "https://zenodo.org/api/records/268515/versions/latest", "latest_html": "https://zenodo.org/records/268515/latest", "media_files": "https://zenodo.org/api/records/268515/media-files", "parent": "https://zenodo.org/api/records/757271", "parent_doi": "https://zenodo.org/doi/", "parent_html": "https://zenodo.org/records/757271", "requests": "https://zenodo.org/api/records/268515/requests", "reserve_doi": "https://zenodo.org/api/records/268515/draft/pids/doi", "self": "https://zenodo.org/api/records/268515", "self_doi": "https://zenodo.org/doi/10.5281/zenodo.268515", "self_html": "https://zenodo.org/records/268515", "self_iiif_manifest": "https://zenodo.org/api/iiif/record:268515/manifest", "self_iiif_sequence": "https://zenodo.org/api/iiif/record:268515/sequence/default", "versions": "https://zenodo.org/api/records/268515/versions" }, "media_files": { "count": 0, "enabled": false, "entries": {}, "order": [], "total_bytes": 0 }, "metadata": { "creators": [ { "person_or_org": { "family_name": "Zvonimir Rakamari\u0107", "name": "Zvonimir Rakamari\u0107", "type": "personal" } } ], "description": "
About the Data
\n\nOverview of Data
\n\nThis data set contains execution logs of 12,000 Android applications and machine learning feature matrices constructed from them.
\n\nPaper Abstract
\n\nWith Android being the most widespread mobile platform, protecting it against malicious applications is essential. Android users typically install applications from large remote repositories, which provides ample opportunities for malicious newcomers. In this paper, we evaluate a few techniques for detecting malicious Android applications on a repository level. The techniques perform automatic classification based on tracking system calls while applications are executed in a sandbox environment. We implemented the techniques in the maline tool, and performed extensive empirical evaluation on a suite of around 12,000 applications. The evaluation considers the size and type of inputs used in analyses. We show that simple and relatively small inputs result in an overall detection accuracy of 93% with a 5% benign application classification error, while results are improved to a 96% detection accuracy with up-sampling. This indicates that system-call based techniques are viable to be used in practice. Finally, we show that even simplistic feature choices are effective, suggesting that more heavyweight approaches should be thoroughly (re)evaluated.
", "publication_date": "2016-06-13", "publisher": "Zenodo", "resource_type": { "id": "dataset", "title": { "de": "Datensatz", "en": "Dataset" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "code-analysis" } ], "title": "maline" }, "parent": { "access": { "owned_by": { "user": 28152 } }, "communities": { "default": "78a011ee-b8ad-4260-a259-1b0770f9692e", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2016-11-17T19:11:34.206055+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "78a011ee-b8ad-4260-a259-1b0770f9692e", "links": {}, "metadata": { "curation_policy": "You send'em. We store'em.
\r\n
\r\nIf too big, we'll push back and discuss other options.
If your data contains code then:
\r\n\r\nAfter that, if ever your do a new release in Github, SEACRAFT will automatically grab a zip of that new release.
\r\n", "page": "This repo contains the combined data from the PROMISE data repository as well as the data repos from several other conferences/workshops.
\r\n
\r\nSEACRAFT is was a research dataset repository specializing in software engineering research datasets and the scripts used to process that data. Unlike most other repositories, most the data here has been used in at least one (or more) data sets. Hence, there exists baseline results form software analytics for all this work.
\r\n
\r\nSEACRAFT offers free and long-term storage for your research artifacts.
\r\n
\r\nHow to reference SEACRAFT: Menzies, T., Krishna, R., Pryor, D. (2017). The SEACRAFT Repository of Empirical Software Engineering Data; https://zenodo.org/communities/seacraft.
\r\n\r\n\r\n@misc{seacraftrepo,
\r\n
\r\nauthors = "Menzies, T., Krishna, R., Pryor, D.",
\r\nyear = 2017,
\r\ntitle = "The SEACRAFT Repository of Empirical Software Engineering Data",
\r\nnotes = "https://zenodo.org/communities/seacraft"
\r\n}
How to reference the old PROMISE repo: Menzies, T., Krishna, R., Pryor, D. (2016). The Promise Repository of Empirical Software Engineering Data; http://openscience.us/repo. North Carolina State University, Department of Computer Science
\r\n\r\n\r\n\r\n\r\n@misc{promiserepo,
\r\n
\r\nauthors = "Menzies, T., Krishna, R., Pryor, D.",
\r\nyear = 2015, title = "
\r\nThe Promise Repository of Empirical Software Engineering Data", notes = "http://openscience.us/repo.
\r\nNorth Carolina State University, Department of Computer Science"
\r\n}
This repo contains the combined data from the PROMISE data repository as well as the data repos from several other conferences/workshops.
\r\n
\r\nSEACRAFT is was a research dataset repository specializing in software engineering research datasets and the scripts used to process that data. Unlike most other repositories, most the data here has been used in at least one (or more) data sets. Hence, there exists baseline results form software analytics for all this work.
\r\n
\r\nSEACRAFT offers free and long-term storage for your research artifacts.
\r\n
\r\nHow to reference SEACRAFT: Menzies, T., Krishna, R., Pryor, D. (2017). The SEACRAFT Repository of Empirical Software Engineering Data; https://zenodo.org/communities/seacraft.
\r\n\r\n\r\n@misc{seacraftrepo,
\r\n
\r\nauthors = "Menzies, T., Krishna, R., Pryor, D.",
\r\nyear = 2017,
\r\ntitle = "The SEACRAFT Repository of Empirical Software Engineering Data",
\r\nnotes = "https://zenodo.org/communities/seacraft"
\r\n}
How to reference the old PROMISE repo: Menzies, T., Krishna, R., Pryor, D. (2016). The Promise Repository of Empirical Software Engineering Data; http://openscience.us/repo. North Carolina State University, Department of Computer Science
\r\n\r\n\r\n\r\n\r\n@misc{promiserepo,
\r\n
\r\nauthors = "Menzies, T., Krishna, R., Pryor, D.",
\r\nyear = 2015, title = "
\r\nThe Promise Repository of Empirical Software Engineering Data", notes = "http://openscience.us/repo.
\r\nNorth Carolina State University, Department of Computer Science"
\r\n}
", "title": "SeaCraft = Software Engineering Artifacts Can Really Assist Future Tasks" }, "revision_id": 0, "slug": "seacraft", "updated": "2017-05-22T16:52:25.850973+00:00" } ], "ids": [ "78a011ee-b8ad-4260-a259-1b0770f9692e" ] }, "id": "757271", "pids": { "doi": { "identifier": "", "provider": "legacy" } } }, "pids": { "doi": { "client": "datacite", "identifier": "10.5281/zenodo.268515", "provider": "datacite" }, "oai": { "identifier": "oai:zenodo.org:268515", "provider": "oai" } }, "revision_id": 7, "stats": { "all_versions": { "data_volume": 552745290384.0, "downloads": 112, "unique_downloads": 70, "unique_views": 370, "views": 405 }, "this_version": { "data_volume": 552745290384.0, "downloads": 112, "unique_downloads": 70, "unique_views": 369, "views": 404 } }, "status": "published", "updated": "2020-01-24T19:25:49.543931+00:00", "versions": { "index": 1, "is_latest": true } }