https://github.com/alan-turing-institute/secureabc
SecureABC AntiBody Certificate paper and reference implementation
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○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 (10.4%) to scientific vocabulary
Repository
SecureABC AntiBody Certificate paper and reference implementation
Basic Info
Statistics
- Stars: 4
- Watchers: 5
- Forks: 2
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
SecureABC Paper and Reference Implementation
Paper
The latest SecureABC AntiBody Certificates paper can be found at SecureABC.pdf. The authors welcome feedback and may be contacted by email using the details in the paper or by clicking the following link.
Changes to the paper are documented in the changelog.
Reference Implementation
This repository also includes a simple reference implementation (in Python3), and proof-of-concept, of the SecureABC AntiBody Certificate proposal. In particular we currently demonstrate the feasibility of our user certificates with a generation and verification script written in Python and a verification app written for Android.
To generate an example SecureABC QR code, run GenerateQRCredential.py, and to verify run either VerifyQRCredential.py or the Android application which is located in the SecureABCVerifier directory.
. Credentials, which can be displayed as standard QR codes, are signed using ECDSA over brainpoolP512r1 and comprise a user photo, name, a unique Certificate ID (CID) number and a validity period. Credentials are completely self-contained and can be verified offline, without interacting with the signer. Revocation is based on distributing revoked CIDs to verifiers.
Example credential verification using our demonstration application:
Running the code
The requirements.txt file contains all dependencies.
To run the implmentation you can use the following commands
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
python3 Generate_QR_Credential.py
python3 Verify_QR_Credential.py
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
GitHub Events
Total
- Issues event: 1
Last Year
- Issues event: 1
Issues and Pull Requests
Last synced: 9 months ago
All Time
- Total issues: 2
- Total pull requests: 0
- Average time to close issues: 3 months
- Average time to close pull requests: N/A
- Total issue authors: 2
- Total pull request authors: 0
- Average comments per issue: 0.5
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- askaydevs (1)
- mhauru (1)
Pull Request Authors
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Dependencies
- androidx.appcompat:appcompat 1.2.0 implementation
- androidx.camera:camera-camera2 $camerax_version implementation
- androidx.camera:camera-lifecycle $camerax_version implementation
- androidx.camera:camera-view 1.0.0-alpha14 implementation
- androidx.constraintlayout:constraintlayout 1.1.3 implementation
- androidx.core:core-ktx 1.3.1 implementation
- com.google.mlkit:barcode-scanning 16.0.2 implementation
- com.google.zxing:core 3.4.0 implementation
- org.jetbrains.kotlin:kotlin-stdlib $kotlin_version implementation
- junit:junit 4.12 testImplementation
- image *
- matplotlib *
- opencv-python *
- pyOpenSSL *
- pyzbar *
- qrcode *
- zbar-py *
- zbarlight *