Abstract: A system receives a media sample. The system then identifies a critical portion of the media sample. The media sample is split into a verification sample comprising the critical portion of the media sample. The verification sample is decomposed into a first and second layer. A first hash value is generated based on the first layer by applying a hash function to a first code element from the verification sample. A second hash value is generated based on the second layer by applying the hash function to a second code element from the verification sample. A blockchain transaction is generated comprising a profile associated with the user. The transaction is stored as a block in a blockchain ledger.

Abstract: A system receives a login sample. The login sample is decomposed into first and second layers. A verification media sample is decomposed into first and second layers. The system determines that the first layer of the login sample does not match the first layer of the verification sample, that the second layer of the login sample does not match the second layer of the verification sample, or both. First and second critical portions are extracted from the login sample. A first and second login hash are generated from the first and second critical portions. A first and second ledger hash are retrieved from a blockchain ledger. It's determined that the first login hash does not match the first ledger hash, the second login hash does not match the second ledger hash, or both. The user is flagged.

Abstract: A system receives a login sample. The login sample is decomposed into first and second layers. A verification media sample is decomposed into first and second layers. The system determines that the first layer of the login sample does not match the first layer of the verification sample, that the second layer of the login sample does not match the second layer of the verification sample, or both. First and second critical portions are extracted from the login sample. A first and second login hash are generated from the first and second critical portions. A first and second ledger hash are retrieved from a blockchain ledger. It's determined that the first login hash does not match the first ledger hash, the second login hash does not match the second ledger hash, or both. The user is flagged.

Abstract: A system receives a media sample. The system then identifies a critical portion of the media sample. The media sample is split into a verification sample comprising the critical portion of the media sample. The verification sample is decomposed into a first and second layer. A first hash value is generated based on the first layer by applying a hash function to a first code element from the verification sample. A second hash value is generated based on the second layer by applying the hash function to a second code element from the verification sample. A blockchain transaction is generated comprising a profile associated with the user. The transaction is stored as a block in a blockchain ledger.

Abstract: A device includes a memory, a transceiver, and a processor. The processor receives a request (including a first identifier assigned to a first mobile device) from the first mobile device. In response, the processor determines that a server connection is unavailable, adds a second identifier to the request, and broadcasts the request. The processor then receives a first path (including the first and second identifiers along with a third identifier assigned to a second mobile device) from the second mobile device and sends it to the first mobile device. The processor then receives a first piece of data and a second path (including the first and second identifiers along with a fourth identifier assigned to a third mobile device) from the first mobile device. In response, the processor identifies the third mobile device and sends the first piece of data and the second path to the third mobile device.

Abstract: A device includes a memory, a transceiver, and a processor. The processor receives a request (including a first identifier assigned to a first mobile device) from the first mobile device. In response, the processor determines that a server connection is unavailable, adds a second identifier to the request, and broadcasts the request. The processor then receives a first path (including the first and second identifiers along with a third identifier assigned to a second mobile device) from the second mobile device and sends it to the first mobile device. The processor then receives a first piece of data and a second path (including the first and second identifiers along with a fourth identifier assigned to a third mobile device) from the first mobile device. In response, the processor identifies the third mobile device and sends the first piece of data and the second path to the third mobile device.

Abstract: Embodiments of the present invention provide a system for triggering cross channel data caching. Historical event data and live event data of a user may be monitored to determine an expected event that comprises one or more expected channels. An expected period of time for the expected event may also be determined. Relevant user data may then be identified from one or more systems of record and cached or otherwise compressed. One or more adapters configured to format cached data into the one or more expected channels are then identified. The cached data is then transmitted to databases associated with each of the one or more expected channels, where the cached data is converted by the adapters. The cached data is then generally maintained in these databases for the expected period of time.

Abstract: Embodiments of the present invention provide a system for triggering cross channel data caching. Historical event data and live event data of a user may be monitored to determine an expected event that comprises one or more expected channels. An expected period of time for the expected event may also be determined. Relevant user data may then be identified from one or more systems of record and cached or otherwise compressed. One or more adapters configured to format cached data into the one or more expected channels are then identified. The cached data is then transmitted to databases associated with each of the one or more expected channels, where the cached data is converted by the adapters. The cached data is then generally maintained in these databases for the expected period of time.