IBM Releases Open Source Toolkits for Processing Data While Encrypted

guest · Jun 5, 2020

IBM Releases Open Source Toolkits for Processing Data While Encrypted
June 5, 2020
https://www.securityweek.com/ibm-releases-open-source-toolkits-processing-data-while-encrypted

The toolkits implement fully homomorphic encryption (FHE), which enables the processing of encrypted data without providing access to the actual data. The toolkits are currently available for macOS and iOS, but IBM is also working on versions for Android and Linux.

Applications are typically designed to encrypt data while it’s at rest or in transit, but malicious actors could still gain access to it while it’s being processed since at this stage the data is decrypted. FHE addresses this problem by enabling authorized parties to work with data while it remains encrypted.

IBM invented FHE in 2009, but until recently its use was impractical as it was too slow.

“In recent years, thanks to algorithmic advancements, Fully Homomorphic Encryption has reached an inflection point where its performance is becoming practical. This has revolutionized security and data privacy and how we outsource computation to untrusted clouds,” IBM says on a page dedicated to FHE.
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The open source toolkits released this week by IBM make it easier for developers to implement FHE.

“For example, what if all the health care providers on the planet could pool fully encrypted patient records to allow analytics on patient data without divulging anything about the individuals involved. Think of the progress that could be made with regards to treating certain kinds of diseases!” IBM’s Eli Dow explained in a blog post.
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BetaNews: IBM launches innovative encryption toolkit for MacOS and iOS

The new toolkits for macOS, and iOS are now available in GitHub now with Linux and Android versions expected in a few weeks. Each toolkit is based on HELib, the world's most mature and versatile encryption library, and includes sample programs making it easier to write FHE based code.

You can find out more on the IBM blog or in the video below.
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