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Monitoring transactions and address behavior to find potential Sybil attacks.\n2. Evaluating address score by looking at on-chain characteristics such as transaction patterns, nonces, account age, and much more.\n3. Supporting a variety of blockchain networks by creating tools they can use to dissipate sybil attacks.\n4. Allowing bot parameters and criteria to be customized to fit the demands of each specific use case.\n5. Enhancing detection capabilities by integrating Sybil Legos, like the Gitcoin Passport Scorer API, and creating unique machine learning models.\n6. Opening up these tools to the entire community so that they can not only help improve our patterns and models but also make use of them to the best extent possible.\n7. And many more approaches that we plan on building and open up to others in the future.", "hidden": false, "question": "How does your project help with sybil defense?", "questionId": 3}], "project": {"id": "10:0x8e1bD5Da87C14dd8e08F7ecc2aBf9D1d558ea174:156", "title": "Forta Patterns - Sybil Detection", "logoImg": "bafkreig7kgwfqtkwieavejv2h2onv46g4zqprcgedzwoxxtvargdwfolni", "metaPtr": {"pointer": "bafkreickgn3qg3aj3keahyg7vv2gwyk4pbkn6chb75gzumeqaa57f22zxu", "protocol": "1"}, "website": "https://github.com/FortaPatterns/forta-sybil-alerts", "bannerImg": "bafkreigk7ulz4sdu5osp2mzdfwdvy37uefdqaugcoajrl6w7lrxweuywkm", "createdAt": 1681858463698, "userGithub": "Flabbergasbed", "credentials": {"github": {"type": ["VerifiableCredential"], "proof": {"jws": "eyJhbGciOiJFZERTQSIsImNyaXQiOlsiYjY0Il0sImI2NCI6ZmFsc2V9..JQxuwr1BCwWO-Q74ZlApum4QKX51mRWvbyDHba8OWjjsTWUXaR0wQqLqlzx-MAqzN5d8m1-xE77CXyI4ENx8Dw", "type": "Ed25519Signature2018", "created": "2023-04-18T23:22:12.972Z", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC#z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC"}, "issuer": "did:key:z6MkghvGHLobLEdj1bgRLhS4LPGJAvbMA1tn2zcRyqmYU5LC", "@context": ["https://www.w3.org/2018/credentials/v1"], "issuanceDate": "2023-04-18T23:22:12.971Z", "expirationDate": "2023-07-17T23:22:12.971Z", "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!", "lastUpdated": 0, "projectGithub": "FortaPatterns", "projectTwitter": "fortapatterns"}, "recipient": "0x1C677CFf7159a7675713A505f1D55fa0c415d2d2"}}