Abstract: Systems and methods for detecting fraudulent streaming activity. Streaming activity is posted to a blockchain by one or more DSPs. Blockchain streaming data is extracted from the blockchain and used as input in a machine learning model. The machine learning model takes the extracted blockchain data, along with additional inputs such as DSP trend pool and social pool inputs, and makes a determination regarding potentially fraudulent streaming activity.

Abstract: Systems and methods for continuous tracking of media file playback. First, transaction data from a platform stream is received. The transaction data corresponds to a request to play a media file from an end user, as well as continuous play information. Next, the transaction data is verified. Then, the verified transaction data is signed using a cryptographic signature. Next, it is determined whether the transaction data corresponds to a valid blockchain transaction. If the transaction data corresponds to a valid blockchain transaction, the valid blockchain transaction is recorded to a blockchain. Last, the transaction data and the cryptographic signature are transmitted to one or more validation nodes.

Abstract: Systems and methods for continuous tracking of media file playback. First, transaction data from a platform stream is received. The transaction data corresponds to a request to play a media file from an end user, as well as continuous play information. Next, the transaction data is verified. Then, the verified transaction data is signed using a cryptographic signature. Next, it is determined whether the transaction data corresponds to a valid blockchain transaction. If the transaction data corresponds to a valid blockchain transaction, the valid blockchain transaction is recorded to a blockchain. Last, the transaction data and the cryptographic signature are transmitted to one or more validation nodes.

Abstract: Systems and methods for continuous tracking of media file playback. First, transaction data from a platform stream is received. The transaction data corresponds to a request to play a media file from an end user, as well as continuous play information. Next, the transaction data is verified. Then, the verified transaction data is signed using a cryptographic signature. Next, it is determined whether the transaction data corresponds to a valid blockchain transaction. If the transaction data corresponds to a valid blockchain transaction, the valid blockchain transaction is recorded to a blockchain. Last, the transaction data and the cryptographic signature are transmitted to one or more validation nodes.

Abstract: Systems and methods for continuous tracking of media file playback. First, transaction data from a platform stream is received. The transaction data corresponds to a request to play a media file from an end user, as well as continuous play information. Next, the transaction data is verified. Then, the verified transaction data is signed using a cryptographic signature. Next, it is determined whether the transaction data corresponds to a valid blockchain transaction. If the transaction data corresponds to a valid blockchain transaction, the valid blockchain transaction is recorded to a blockchain. Last, the transaction data and the cryptographic signature are transmitted to one or more validation nodes.

Abstract: Systems and methods for continuous tracking of media file playback. First, transaction data from a platform stream is received. The transaction data corresponds to a request to play a media file from an end user, as well as continuous play information. Next, the transaction data is verified. Then, the verified transaction data is signed using a cryptographic signature. Next, it is determined whether the transaction data corresponds to a valid blockchain transaction. If the transaction data corresponds to a valid blockchain transaction, the valid blockchain transaction is recorded to a blockchain. Last, the transaction data and the cryptographic signature are transmitted to one or more validation nodes.