In a new study, scientists suggest multiparty computing could help people share data safely.
They developed MPC protocol to achieve that objective. The research was done by a team from Boston University.
It is known that data can help analyze complex problems and provide new solutions.
However, when it comes to using big data for finding new drug targets for cancer or understanding how ride-sharing apps can influence traffic congestion,
There are often conflicts between data sharing and data protection.
In the new MPC protocol, parties enter their data and the data split into separate pieces and masks with other random numbers.
Then the encoded data pieces are sent to multiple servers to assure data privacy.
This means organizations can use financial, personal, and patient data for comparison and analysis without seeing other parties’ data.
MPC can be used in areas such as healthcare, public policy, higher education, transportation, and business.
The team had used MPC software to analyze Boston’s gender wage gap in 2015 in their previous research.
Boston-area companies submitted payroll data to researchers for analysis, and the finding showed that the city’s women make 77 cents for every dollar a man makes.
In this video, researchers explain what MPC is and how it could make data sharing more secure.
One researcher of the study is Azer Bestavros, director of Boston University’s Rafik B. Hariri Institute for Computing and Computational Science & Engineering.
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