Defense Advanced Research Projects AgencyTagged Content List

Data Analysis at Massive Scales

Extracting information and insights from massive datasets; "big data"; "data mining"

Showing 4 results for Data + Security RSS
From navigation to remote banking, mobile device users rely on a variety of applications to streamline daily tasks, communicate, and dramatically increase productivity. While exceedingly useful, the ecosystem of third-party applications utilizes a number of sensors – microphones, GPS, pedometers, cameras – and user interactions to collect data used to enable functionality. Troves of sensitive personal data about users are accessible to these applications and as defense and commercial mobile device users become increasingly reliant on the technology, there are growing concerns around the challenge this creates for preserving user privacy.
Modern computing systems are incapable of creating sufficient security protections such that they can be trusted with the most sensitive data while simultaneously being exposed to untrusted data streams. In certain places, the Department of Defense (DoD) and commercial industry have adopted a series of air-gaps – or breaks between computing systems – to prevent the leakage and compromise of sensitive information.
The Defense Advanced Research Projects Agency (DARPA) is issuing an Artificial Intelligence Exploration (AIE) Opportunity, inviting submissions of innovative basic research concepts in the technical domain of human language technology, cognitive science, and language acquisition.
DARPA is soliciting innovative research and development to reduce the computation run time of fully homomorphic encrypted computation through hardware acceleration. The goal of the DPRIVE program is to enable fully homomorphic encrypted computation to within one order of magnitude of the compute time of current unencrypted computation.