Bitclave Pte. Ltd.

Mark Shwartzman

Stephen Winston

Vadim Gore

Alexander Bessonov

Patrick Tague

Methods and systems relating to a protocol for verification and enforcement of proper payment of a reward from a business (second entity) to a user (first entity) are shown. A reward can be earned by the user storing private information as encrypted data on the block chain or in a data store, such as IPFS, accessible by the business. Smart contracts running on a block chain operate to implement portions of the protocol while a local block chain node can run smart contracts in read-only mode to avoid placing private information, such as decryption keys, on the block chain. The protocol can be implementable over public storage and all artifacts of the protocol can be used later as proofs of proper behavior. The protocol defines incentives and penalties to motivate every player to act according to the rules, hence making the methods and systems operate as expected.

Systems and methods for providing personal rewards in a trustless ecosystem

Methods and systems relating incentivizing a data provider to participate in a match making protocol between a business (second entity) to a user (first entity) are shown. Encryption techniques maintain the secrecy of the data providers data such as proprietary analytics of user information such that the data is need not be shared with users or businesses. Businesses can verify that the user has desired properties without learning the actual raw data owned by the data provider. Users initiate data sharing by explicit request but do not learn the actual raw data known to the data provider, only whether or not they satisfy the properties of interest. The data provider is incentivized because the business compensates the data provider for access to proofs of properties about user data.

Systems and methods for preserving privacy and incentivizing third-party data sharing

Methods and systems can prove to an independent verifier that multiple activities registered on decentralized BASE network belong to the same user, without revealing true identity of the user. A selective linkability algorithm provides for linking together activities done under various of user's pseudonyms, without revealing the true user's identity. A reward calculation mechanism calculates a reward based on activities linked using the linking proof. For example, if user can prove that she already successfully completed 10 prior transactions, she might be deemed more valuable to the business making a new offer and hence eligible for a higher reward.

Systems and methods for linking anonymized user activities while preserving strong privacy guarantees

Systems and methods provide for validating data and attesting to its accuracy in a secure distributed environment. Encrypted data stored by a user in a datastore such as a blockchain or open public decentralized datastore can be validated by a validator. The validator is a trusted entity to whom the user provides decryption keys. Having access to the data, the validator can verify that it is accurate and can store a cryptographically signed validation certificate in the data store. Businesses engaging in transactions with the user can use the validation certificates to ensure that the user data is accurate and current.

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Campbell, CA, United States of America

Mark Shwartzman