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# FederationLib
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# FederationLib
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Please note that this project is currently in development and is not ready for use.
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[](https://wakatime.com/badge/user/bc15cc8e-c9b9-4c11-bad9-3e3cfacf01e4/project/738fe066-6fc0-45f7-b046-1c8bbf00ffee)
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See the [STANDARD.md](STANDARD.md) file for more information.
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Spam is a persistent problem on the internet, affecting various communication channels such as email, social media,
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messaging apps, and more. Spammers use different techniques to distribute spam, such as creating fake accounts, using
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automated bots or exploiting vulnerabilities in the system, this extends towards bad actors who may use these techniques
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to harm children, spread misinformation, or even commit financial fraud. In order to combat these issues, while different
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systems have developed methods for identifying and classifying spam, there is no standard or centralized way to share
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this information. This results in duplication of effort and inconsistencies in spam classification across different
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systems.
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The objective of this project is to develop a decentralized, open-source, and privacy-preserving spam detection and
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classification system. This system will act as a decentralized authority for internet spam classification. The server
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will allow different organizations and individuals to contribute to the common database, to which the public may query
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the common database to check if the given content or entity could be classified as spam and provide a confidence score
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alongside with evidence to support the classification.
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# FederationLib
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[](https://wakatime.com/badge/user/bc15cc8e-c9b9-4c11-bad9-3e3cfacf01e4/project/738fe066-6fc0-45f7-b046-1c8bbf00ffee)
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Spam is a persistent problem on the internet, affecting various communication channels such as email, social media,
|
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messaging apps, and more. Spammers use different techniques to distribute spam, such as creating fake accounts, using
|
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automated bots or exploiting vulnerabilities in the system, this extends towards bad actors who may use these techniques
|
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to harm children, spread misinformation, or even commit financial fraud. In order to combat these issues, while different
|
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systems have developed methods for identifying and classifying spam, there is no standard or centralized way to share
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this information. This results in duplication of effort and inconsistencies in spam classification across different
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systems.
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The objective of this project is to develop a decentralized, open-source, and privacy-preserving spam detection and
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classification system. This system will act as a decentralized authority for internet spam classification. The server
|
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will allow different organizations and individuals to contribute to the common database, to which the public may query
|
|
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the common database to check if the given content or entity could be classified as spam and provide a confidence score
|
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alongside with evidence to support the classification.
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