{"type": "project", "title": "Forta Patterns - Sybil Detection", "logoImg": "bafkreig7kgwfqtkwieavejv2h2onv46g4zqprcgedzwoxxtvargdwfolni", "website": "https://github.com/FortaPatterns/forta-sybil-alerts", "bannerImg": "bafkreigk7ulz4sdu5osp2mzdfwdvy37uefdqaugcoajrl6w7lrxweuywkm", "createdAt": 1681858463698, "userGithub": "Flabbergasbed", "credentials": {"github": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..9re6mTy0AknN9de2Z-6SwVwwpZqHEudKsSYEKV6KKRsJARXMYVTLRHsmWRjH0JaQQqw0hIJ0cdWU6CN2gVYwBQ", "type": "Ed25519Signature2018", "created": "2023-08-14T21:09:31.704Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-08-14T21:09:31.704Z", "expirationDate": "2023-11-12T21:09:31.704Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x1C677CFf7159a7675713A505f1D55fa0c415d2d2", "hash": "v0.0.0:F2zGPrgqcj//N3qIIiT7MMpvz87aAcuG6PWq2kRG00o=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextGithubOrg#FortaPatterns#113125105"}}, "twitter": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..UqmrYQZegJhjJ-hyhbXcCgYr11YRpmABWUyq7kNQ63bpIRLqf33EB3dPttIZrZXLZTC_hMBGXTMpdVYdLXAPBw", "type": "Ed25519Signature2018", "created": "2023-04-18T22:34:48.385Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-04-18T22:34:48.385Z", "expirationDate": "2023-07-17T22:34:48.385Z", "credentialSubject": {"id": "did:pkh:eip155:1:0x1C677CFf7159a7675713A505f1D55fa0c415d2d2", "hash": "v0.0.0:83OxQ9+aeyNhQT0iqcrHPoQFrSc/9MxbBJHmbPsO8Vo=", "@context": [{"hash": "https://schema.org/Text", "provider": "https://schema.org/Text"}], "provider": "ClearTextTwitter#FortaPatterns"}}}, "description": "A cutting-edge web3 tool for securing online communities from sybil attacks, build on the Forta Network with Gitcoin Sybil Legos \ud83e\udde9\n===\nIntroducing Forta Patterns, a powerful and adaptable platform that safeguards the integrity of online ecosystems by identifying and mitigating Sybil attacks.\nLeveraging community data analysis, advanced algorithms, and machine learning, Forta Patterns strives to ensure the trustworthiness of individuals in a world of anons.\n===\nUtilize Forta Patterns to:\n\ud83d\udee1\ufe0f Monitor address behavior and interactions to detect potential Sybil attacks.\n\ud83d\udd0e Analyze transaction patterns, nonces, account age, and other on-chain metrics to assess the legitimacy of users.\n\ud83c\udf10 Support multiple blockchain networks, ensuring comprehensive protection regardless of your preferred ecosystem.\n\ud83d\udd27 Customize the bot's parameters and thresholds to adapt to the unique requirements of your community.\n\ud83d\udcca Receive detailed reports and visualizations to understand the health and security of your online environment.\n===\nSince our inception on GR15, here is what we have done:\n\ud83d\udd2c Conducted extensive research on Sybil attack vectors and mitigation strategies.\n\ud83d\udcbb Developed initial Forta Patterns and Sybil Detector based on community data analysis.\n\ud83d\udcc8 Analyzed data from previous Gitcoin rounds to identify potential Sybil threats.\n\ud83d\udc1b Fixed and help identify many bugs.\n===\nWhat we plan to do until the next round:\n\ud83d\udd17 Integrate Sybil Legos, starting with Gitcoin Passport Scorer API, for enhanced detection capabilities.\n\ud83e\udde0 Develop custom machine learning models based on relevant data to improve Sybil attack identification.\n\ud83c\udf09 Collaborate with OpenDataforWeb3 to create innovative solutions for secure online interactions.\n\u2049\ufe0f And much more to come.\n===\nYour support during previous Gitcoin grants has been invaluable in developing Forta Patterns, we are deeply grateful for it \ud83d\ude4f\nThank you for empowering us to create a safer and more trustworthy online experience! \ud83e\udd0c\n===\n\ud83e\udd1d You can also contribute in other ways:\n\ud83d\udc26 Follow us on Twitter for updates, news, and support: https://twitter.com/FortaPatterns\n\u2728 Star our GitHub repo: https://github.com/FortaPatterns/forta-sybil-alerts\n\ud83d\udcb0 Donate to Sybil Detection Bot: 0x1C677CFf7159a7675713A505f1D55fa0c415d2d2\n\ud83d\udc69\u200d\ud83d\udcbb Become a contributor to the Forta Patterns organization on GitHub. Help us improve the bot and make the web3 space more secure!", "logoImgData": {}, "bannerImgData": {}, "projectGithub": "FortaPatterns", "projectTwitter": "fortapatterns"}
Forta Patterns - Sybil Detection
A cutting-edge web3 tool for securing online communities from sybil attacks, build on the Forta Network with Gitcoin Sybil Legos 🧩
===
Introducing Forta Patterns, a powerful and adaptable platform that safeguards the integrity of online ecosystems by identifying and mitigating Sybil attacks.
Leveraging community data analysis, advanced algorithms, and machine learning, Forta Patterns strives to ensure the trustworthiness of individuals in a world of anons.
===
Utilize Forta Patterns to:
🛡️ Monitor address behavior and interactions to detect potential Sybil attacks.
🔎 Analyze transaction patterns, nonces, account age, and other on-chain metrics to assess the legitimacy of users.
🌐 Support multiple blockchain networks, ensuring comprehensive protection regardless of your preferred ecosystem.
🔧 Customize the bot's parameters and thresholds to adapt to the unique requirements of your community.
📊 Receive detailed reports and visualizations to understand the health and security of your online environment.
===
Since our inception on GR15, here is what we have done:
🔬 Conducted extensive research on Sybil attack vectors and mitigation strategies.
💻 Developed initial Forta Patterns and Sybil Detector based on community data analysis.
📈 Analyzed data from previous Gitcoin rounds to identify potential Sybil threats.
🐛 Fixed and help identify many bugs.
===
What we plan to do until the next round:
🔗 Integrate Sybil Legos, starting with Gitcoin Passport Scorer API, for enhanced detection capabilities.
🧠 Develop custom machine learning models based on relevant data to improve Sybil attack identification.
🌉 Collaborate with OpenDataforWeb3 to create innovative solutions for secure online interactions.
⁉️ And much more to come.
===
Your support during previous Gitcoin grants has been invaluable in developing Forta Patterns, we are deeply grateful for it 🙏
Thank you for empowering us to create a safer and more trustworthy online experience! 🤌
===
🤝 You can also contribute in other ways:
🐦 Follow us on Twitter for updates, news, and support: https://twitter.com/FortaPatterns
✨ Star our GitHub repo: https://github.com/FortaPatterns/forta-sybil-alerts
💰 Donate to Sybil Detection Bot: 0x1C677CFf7159a7675713A505f1D55fa0c415d2d2
👩‍💻 Become a contributor to the Forta Patterns organization on GitHub. Help us improve the bot and make the web3 space more secure!
Forta Patterns - Sybil Detection