Designed Sealed Deliveredby Jay Cuthrell
This week we take a look at the past, present, and future of homomorphic encryption.
This week’s musical inspiration in title and lyrics:
Now it’s time for reading 📖, listening 🎧, and watching 📺 suggestions:
- First, 📖 VLSI Design and FPGA Implementation of an Number Theoretic Transform for Microsoft SEAL-Embedded Library in which Stefano Di Matteo, Matteo Lo Gerfo, and Sergio Saponara show what performance is possible in homomorphic encryption with hardware acceleration.
- Second, 🎧 Privacy by Design: The Future of Homomorphic Encryption & Secure Data Analytics in which Ron Eddings and Chris Cochran interview Derek Wood on practical applications of homomorphic encryption.
- Third, 📺 ZAMA TFHE-rs vs IBM HELIB in which Maurizio Martignano demonstrates applying homomorphic encryption to health data.
Everyone seems to be talking about the application of big data being harnessed with machine learning (M.L.) and artificial intelligence (A.I.) but… does all that big data need to be sitting around unencrypted or potentially in a state that could be extracted?
Probably not. Sounds like a bad news headline waiting to be written, right?
As a result, if you haven’t digested Getting Informed, no problem… but it’s time to learn a bit more about homomorphic encryption using a helpful educational video (2018):
Some of the data that homomorphic encryption protects might be sensitive – be it medical or even your recent orders in a retail setting. So, imagine the commercial applications and this might seem like it is up in the air… literally?
Case in point…
The reference to Salt Lake City was interesting and makes sense if you’ve seen Zipline Sparrow drone and delivery parachute videos before. However, it was the Bentonville, Arkansas reference that got my attention.
Bentonville is the HQ for Walmart. Zipline is a FAA-certificated Part 135 operator.
So, this is about using drones that fly beyond the operator’s visual line of sight and data collection that may likely shape future policy decisions by the FAA around Beyond Visual Line of Sight (BVLOS) services and the Unmanned Aircraft System Traffic Management (UTM) program.
But wait… there’s more.
What data does the drone need and for how long does it need to retain that data?
What is the spatial and temporal protection of the data entrusted to a drone?
What if the drone is augmented with increasing levels of A.I. and autonomy?
So, what will be the next big thing in homomorphic encryption?
Until then… Place your bets!
I am linking to my disclosure.
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