Abstract: Systems and methods for secure storage of encrypted data on a distributed computing platform are disclosed. Exemplary implementations may: obtain data to be encrypted and securely stored; split the data into a set of data portions; receive, from a set of storage servers, a set of cryptographic keys; combine the set of cryptographic keys with one or more elements of client information to create a set of encryption keys to be used for encrypted communication; encrypt the set of data portions using the set of encryption keys; create one or more storage-request messages intended for the set of storage servers; post the one or more storage-request messages to the distributed ledger; and receive a set of confirmation messages that confirm storage of individual ones of the encrypted set of data portions such that an individual confirmation message confirms storage of an individual encrypted data portion.

Abstract: Disclosed are computing devices, systems, methods to operate a cross blockchain secure token transaction engine to identify a set of one or more tokens of a first blockchain, lock the identified set of the one or more tokens of the first blockchain, and generate, based upon the locked set of the one or more tokens, a set of one or more tokens of a second blockchain, where the set of one or more tokens of the second blockchain are to be subsequently converted to tokens of the first blockchain based upon the locked set of tokens of the first blockchain.

Abstract: A system and method configured for analyzing transactions in a distributed ledger. The system may identify transactions where addresses and/or groupings of addresses are co-spent together and determine whether the addresses and/or groupings of addresses should be associated with each other. Addresses may be associated with each other in a grouping of addresses and/or potential grouping of addresses because they likely belong to the same entity. The system may identify different strengths and/or confidence levels of groupings of addresses and/or potential groupings of addresses. Strong groupings, relatively strong potential groupings, and/or other groupings of addresses, potential groupings of addresses, and/or groups may be grouped, associated, analyzed, and/or presented together. As such, the system may provide a comprehensive analysis of addresses associated with a given entity.