New methods of big data analysis might help critical infrastructure safeguard sensitive data and trade secrets from corporate and industrial espionage:
Differential privacy is an emerging approach to safeguard data from any attempt that may reveal any sensitive data within a system. Differential privacy can fix this problem by creating a scheme that forces the system to create “noise” around the data that needs most protection and by optimizing the privacy parameters for these different kinds of data.
Read more:
Buckheit, M. (2020, Oct. 5). New method enables automated protections for sensitive data. PennState News. https://news.psu.edu/story/634058/2020/10/05/research/new-method-enables-automated-protections-sensitive-data