Abstract: Disclosed herein are system, method, and computer program product embodiments for scrubbing anomalies from an expanding dataset. In an embodiment, a data sanitization system may determine whether data is anomalous to a set of data stored on a first blockchain. The data sanitization system may perform this determination using a first machine learning algorithm trained using the set of data. Upon determining that data is anomalous, the data sanitization system may publish the data in a second blockchain different from the first blockchain. The data sanitization system may monitor data of the second blockchain and apply a second machine learning algorithm to this data to identify a pattern of anomalous data. In response to identifying the pattern, the data sanitization system may publish the anomalous data of the second blockchain to the first blockchain.

Abstract: Disclosed herein are system, method, and computer program product embodiments for scrubbing anomalies from an expanding dataset. In an embodiment, a data sanitization system may determine whether data is anomalous to a set of data stored on a first blockchain. The data sanitization system may perform this determination using a first machine learning algorithm trained using the set of data. Upon determining that data is anomalous, the data sanitization system may publish the data in a second blockchain different from the first blockchain. The data sanitization system may monitor data of the second blockchain and apply a second machine learning algorithm to this data to identify a pattern of anomalous data. In response to identifying the pattern, the data sanitization system may publish the anomalous data of the second blockchain to the first blockchain.

Abstract: Disclosed herein are system, method, and computer program product embodiments for scrubbing anomalies from an expanding dataset. In an embodiment, a data sanitization system may determine whether data is anomalous to a set of data stored on a first blockchain. The data sanitization system may perform this determination using a first machine learning algorithm trained using the set of data. Upon determining that data is anomalous, the data sanitization system may publish the data in a second blockchain different from the first blockchain. The data sanitization system may monitor data of the second blockchain and apply a second machine learning algorithm to this data to identify a pattern of anomalous data. In response to identifying the pattern, the data sanitization system may publish the anomalous data of the second blockchain to the first blockchain.

Abstract: Described herein is a system for authorizing secondary users to access a primary user's account using blockchain. The primary user can transmit a request for providing access to a primary user's account to a secondary user. In response to receiving the request, the system may generate a new block in the blockchain ledger specifying the permissions of the secondary user. Furthermore, the new block may include the permission details. This way, when the secondary user attempts to access the primary user's account, the system may verify the secondary user based on the permission details in the last block in the sequence of blocks. Each new block may include the permission details.

Abstract: Described herein is a system for authorizing secondary users to access a primary user's account using blockchain. The primary user can transmit a request for providing access to a primary user's account to a secondary user. In response to receiving the request, the system may generate a new block in the blockchain ledger specifying the permissions of the secondary user. Furthermore, the new block may include the permission details. This way, when the secondary user attempts to access the primary user's account, the system may verify the secondary user based on the permission details in the last block in the sequence of blocks. Each new block may include the permission details.