Non-Invertible Deceptive Infusion of Data (DIOD) Methodology for Critical Data Communication

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Researchers at Purdue University have created a novel method for the non-invertible deceptive infusion of data (DIOD) for critical data communications. Sharing critical data with a third party carries the risk of the data being used to reverse-engineer the identity or governing laws of its system of origin. Ultimately, this could be used to create a software tool that would perform DIOD transformation on data given to third parties. Purdue's approach to this problem represents a paradigm shift for the field, as their solution focuses on allowing data to be distributed in a way that obfuscates the identity and governance of the system that created it. Previous methods in this field simply focused on obfuscation of personally identifiable information in the final dataset which limited the application of AI methods on data analysis and left much greater vulnerability to primary system.

-Allows for critical data to be given to a third party (ex. contractor, customer, etc.) without compromising details regarding the source system
-Doesn't impact the application of AI on the final dataset

-Critical data communication
-Data privacy
-Security of Government/Corporate Intelligence
Jul 30, 2021
United States
Purdue Office of Technology Commercialization
The Convergence Center
101 Foundry Drive, Suite 2500
West Lafayette, IN 47906

Phone: (765) 588-3475
Fax: (765) 463-3486