Researchers have found a way to use chaos to help develop digital fingerprints for electronic devices that may be unique enough to foil even the most sophisticated hackers.
Just how unique are these fingerprints? The researchers believe it would take longer than the lifetime of the universe to test for every possible combination available.
“In our system, chaos is very, very good,” said Daniel Gauthier, senior author of the study and professor of physics at The Ohio State University.
BEC was kind enough to share a parts list of everything used to create this project. It’s operated primarily by a Raspberry Pi Zero 2 W, with most components housed neatly inside an acrylic cylinder. It’s driven by a drone propeller alongside a couple of Pololu 2,130 DRV8833 Dual H-bridge motor drivers. The sensors include both a pressure sensor and a distance sensor, while a Lego Rechargeable 9V Battery Box supplies the power with the assistance of a Pololu 2,123 S7V8F5 5V voltage regulator.
The Raspberry Pi runs Raspberry Pi OS, while the code used to operate the submarine functions is handled using a custom Python script. BEC explains that Thonny was used to run the Python code, which is open-source and available for anyone to explore.
If you want to recreate this Raspberry Pi project for yourself or make something similar, check out the full blog post shared on the official Brick Experiment Channel blog. We also implore you to check out the video shared on YouTube for a demo of the submarine in action.
Circa 2020
By utilizing a process that Einstein famously called “spooky,” scientists have successfully caught “ghosts” on film for the first time using quantum cameras.
The “ghosts” captured on camera weren’t the kind you might first think; scientists didn’t discover the wandering lost souls of our ancestors. Rather, they were able to capture images of objects from photons that never actually encountered the objects pictured. The technology has been dubbed “ghost imaging,” reports National Geographic.
Normal cameras work by capturing light that bounces back from an object. That’s how optics are supposed to work. So how can it be possible to capture an image of an object from light if the light never bounced off the object? The answer in short: quantum entanglement.
As our tech needs grow and the Internet of Things increasingly connects our devices and sensors together, figuring out how to provide power in remote locations has become an expanding field of research.
Professor Seokheun “Sean” Choi—a faculty member in the Department of Electrical and Computer Engineering at Binghamton University’s Thomas J. Watson College of Engineering and Applied Science—has been working for years on biobatteries, which generate electricity through bacterial interaction.
One problem he encountered: The batteries had a lifespan limited to a few hours. That could be useful in some scenarios but not for any kind of long-term monitoring in remote locations.