Abstract: Techniques for securely generating and using a “fingerprint” for authentication. A server computer receives a first data set from a user device (including a first fuzzy hash of first user data on the user device). The server computer generates a first fingerprint value based on the first data set. The server computer detects an event corresponding to a user in association with the user device. The server computer identifies a baseline fingerprint value (generated based on a baseline fuzzy hash of user data on the user device). The server computer compares the first fingerprint value to the baseline fingerprint value to generate a similarity score. The server computer may determine that the similarity score exceeds a threshold value but does not represent an exact match, and, based on the similarity score, authenticate the user and update the baseline fingerprint value based on the first fingerprint value.

Abstract: A helper SDK embedded in a native application performs local operations on behalf of a web application affiliated with the helper SDK. The helper SDK may perform security functions such as fingerprint or face biometric verifications as well as access device-specific hardware such as a camera or secure memory. The web application may use an 0Auth technique for access and refresh tokens. In a transaction system, when a user is confirmed via the security function, order details are passed to the web application with a refresh token and ciphertext confirmation data is returned to the native application for completion of the transaction.

Abstract: Techniques for securely generating and using a “fingerprint” for authentication. A server computer receives a first data set from a user device (including a first fuzzy hash of first user data on the user device). The server computer generates a first fingerprint value based on the first data set. The server computer detects an event corresponding to a user in association with the user device. The server computer identifies a baseline fingerprint value (generated based on a baseline fuzzy hash of user data on the user device). The server computer compares the first fingerprint value to the baseline fingerprint value to generate a similarity score. The server computer may determine that the similarity score exceeds a threshold value but does not represent an exact match, and, based on the similarity score, authenticate the user and update the baseline fingerprint value based on the first fingerprint value.

Abstract: A helper SDK embedded in a native application performs local operations on behalf of a web application affiliated with the helper SDK. The helper SDK may perform security functions such as fingerprint or face biometric verifications as well as access device-specific hardware such as a camera or secure memory. The web application may use an 0Auth technique for access and refresh tokens. In a transaction system, when a user is confirmed via the security function, order details are passed to the web application with a refresh token and ciphertext confirmation data is returned to the native application for completion of the transaction.