Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Repository
IoT.EyeWitness Forensic Framework
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
IoT.EyeWitness
The IoT.EyeWitness framework proposes a solution for issues regarding the organization and presentation steps of the digital forensics procedures. Being made up of two main segments (data storage and displayment), the framework stores data given by the user in MySQL database tables and displays the same data in GUI widgets. The data storage step can be helpful when it comes to organizing artifacts as it concentrates information in one single database. The data visualization method simplifies the presentation process since the GUI components are user-friendly, human-readable information. Instead of simply displaying raw metadata, IoT.EyeWitness focuses on exhibiting graphs, plots and maps, using that information. For that reason, the data is consumed in a much more digestible way for everyone, with its target audience being crime investigators. In spite of the fact that the target audience is crime investigators, the framework can also be quite helpful in court settings, where people need easy, accessible information that is presented in a manner they can familiarize with.
Owner
- Login: ericawallberg
- Kind: user
- Repositories: 3
- Profile: https://github.com/ericawallberg
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Wallberg" given-names: "Erica" title: "IoT.EyeWitness Forensic Framework" version: 1.0.0 date-released: 2022-07-21 url: "https://github.com/ericawallberg/iot.eyewitness"