Page 7 - Duality Technologies News Today : Breaking News, Live Updates & Top Stories | Vimarsana

DARPA Seeks Chips that Can Crunch Data Without Decrypting It Current methods of doing "fully homomorphic encryption" require too much computing power to be used widely. The Defense Advanced Research Agency awarded four research teams multimillion-dollar contracts to figure out how to perform computations on encrypted data faster and with less power.  The four performers for DARPA’s Data Protection in Virtual Environments program aim to build silicon chips capable of supporting Fully Homomorphic Encryption, which enables users to compute and analyze data without exposing it to comp...

Confidential computing IBM has been working on confidential computing for roughly a decade. The concept behind the technology is to permit clients to retain full privacy and control over data and operational workloads through hardware-level security.  This can include the implementation of "secure enclaves" -- trusted execution environments -- which can manage data and are only accessible through authorized programming code, keeping information away not only from cloud or infrastructure providers but also external threat actors.  IBM likens the technology to a hotel room safe, in which key...

By   Kelsey Atherton on March 11, 2021 at 11:15 AM Keeping data encrypted as it is processed could mitigate the harm from cyber intrusions, even by determined adversaries. ALBUQUERQUE: This week, DARPA announced the award of several contracts that will let computers process encrypted data, instead of having to decrypt it prior to processing. That could drastically improve the security and functionality of cloud-based processing for the military, because data won’t have to switch constantly between being protected encrypted forms and vulnerable decrypted ones. On March 8, DARPA announced ...

Four research teams will work to develop a hardware accelerator and software stack for fully homomorphic encryption that can bring the speed of FHE calculations in line with similar unencrypted data operations.

Four research teams will work to develop a hardware accelerator and software stack for fully homomorphic encryption that can bring the speed of FHE calculations in line with similar unencrypted data operations.