Mark Shwartzman

20200084023, Mar 12, 2020

Sep 11, 2019

16/568128

- Trivex, SG
Patrick Tague - Mountain View CA, US
Mark Shwartzman - Campbell CA, US
Stephen Winston - San Jose CA, US
Vadim Gore - Beaverton OR, US

H04L 9/06
H04L 9/30
H04L 9/32
H04L 29/06

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 prior transactions, she might be deemed more valuable to the business making a new offer and hence eligible for a higher reward.

20200084046, Mar 12, 2020

Sep 11, 2019

16/568107

- Trivex, SG
Patrick Tague - Mountain View CA, US
Mark Shwartzman - Campbell CA, US
Stephen Winston - San Jose CA, US
Vadim Gore - Beaverton OR, US

H04L 9/32

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.

20200084051, Mar 12, 2020

Sep 11, 2019

16/568132

- Trivex, SG
Patrick Tague - Mountain View CA, US
Mark Shwartzman - Campbell CA, US
Stephen Winston - San Jose CA, US
Vadim Gore - Beaverton OR, US

H04L 9/32
H04L 9/06
G06Q 20/38

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.