Abstract
There are a number of public unsecured datasets (PUDs) that include data from users of social media service providers or other entities. Such service providers and other organizations are often called upon to retrieve and secure PUDs. There are certain difficulties that arise, e.g., verifying that the PUD includes data from that organization and not any other; handling the data so that personnel from the organization or its vendors cannot access or use it for unauthorized purposes; efficiently analyzing the PUD; etc.
This disclosure describes secure procedures for handling PUD data using keyed hashing-and-encryption functions such that an organization can efficiently determine whether it was (or was not) the origin of the PUD data without individuals affiliated to the organization, e.g., employees or vendors, gaining access to the plaintext PUD data.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Anonymous, "Hashing and Encrypting Public Unsecured Datasets for Secure Dataset Fingerprinting", Technical Disclosure Commons, (July 24, 2020)
https://www.tdcommons.org/dpubs_series/3457