Protecting privacy at the ballot box with secure multiparty computation

phys.org | 9/25/2018 | Staff
melanie7 (Posted by) Level 3
Click For Photo: https://3c1703fe8d.site.internapcdn.net/newman/gfx/news/hires/2019/1-protectingpr.jpg

Shortly after the start of the new year, Americans around the nation will start returning to polling stations to vote in presidential primaries. How confident they feel in the voting process could depend on something called "secure multiparty computation."

Secure multiparty computation allows different sides to work together and solve a problem. It can, for instance, keep bids private during an auction or guarantee privacy during election voting. Most importantly, it allows for trust on social and commercial interactions.

Computer - Engineering - Computer - Science - Researchers

Computer engineering and computer science researchers at Purdue are working together to find the answer.

The project, named High Assurance Compositional Cryptography: Languages and Environments (HACCLE), is working to utilize the areas of security and programming language to solve the questions and hurdles created by current methods.

Challenge - Range - Questions - Applications - Milind

"The challenge is that there are a wide range of questions that need to be addressed when developing those applications," said Milind Kulkarni, an associate professor in electrical and computer engineering, who is leading the project. "And every time you answer these questions differently, it takes a heroic effort from cryptographic experts to deliver an effective solution."

Kulkarni said the Purdue researchers are working to take the task of developing secure multiparty applications out of the realm of experts and make it accessible to ordinary programmers.

HACCLE - Programming - Languages - Verification - Optimization

HACCLE is intended to provide programming languages and the verification, optimization, and execution tools to address the challenges currently encountered. The ultimate goal is to allow programmers to write secure multiparty computation applications with minimum effort and maximum performance.

Additional faculty involved in project research are Tiark Rompf, Roopsha Samanta, Hemanta Maji, Aniket Kate, Christina Garman, Benjamin Delaware and Jeremiah Blocki, all professors in Purdue's Department of Computer Science. The group is collaborating with Reservoir Labs, a technology and solutions company in New York City.

Project - Grant - Funding - Intelligence - Advanced

The project recently was awarded grant funding by the Intelligence Advanced...
(Excerpt) Read more at: phys.org
Wake Up To Breaking News!
Sign In or Register to comment.

Welcome to Long Room!

Where The World Finds Its News!