In Airshark: Detecting Non-WiFi RF Devices using Commodity WiFi Hardware (PDF), researchers from U Wisconsin (Madison) document a firmware for WiFi access points that can detect and dynamically adjust to interference from vacuum cleaners, baby monitors, and other non-WiFi devices that operate in WiFi's radio spectrum. This kind of thing is the backbone of the theory of cognitive radio: devices that can use software defined radio, phased-array antennas, and cleverness to route around other devices in the band, which may, eventually, enable the a lot more data to occupy the radio spectrum. In Airshark's case, the cleverness is in using the wireless cards on the computers and other devices as a sensing array to triangulate on interference.
Airshark taps into the application programming interface of wireless cards used on access points to gather data about radio frequencies in the surrounding environment. The software has been trained to recognize signatures of various devices, and can pick them out from the ambient radio noise with more than 90% accuracy even if signals from multiple such devices are present.
False positives were .39% for environments with four or more interfering devices and using various signal strengths. The researchers found the rate was .068% for signals stronger than -80dBm. "We also found its performance to be comparable to a commercial signal analyzer," according to their research paper "Airshark: Detecting Non-WiFi RF Devices using Commodity WiFi Hardware."
I’m tempted by the finally-upgraded Mac Mini (pictured above with the new 13″ iPad Pro configured as its display), long the black sheep of the Mac lineup but loved for the promise of compact power it (again) justifies. Rather than make the new model smaller, as some expected, they kept the same box and filled […]
An Australian developer named Mark Watkins painstakingly reverse-engineered the proprietary data generated by Continuous Positive Airway Pressure (CPAP) machines and created Sleepyhead, a free/open piece of software that has become the go-to tool for thousands of sleep apnea sufferers around the world who want to tune their machines to stay healthy.
Researchers at NYU and U Michigan have published a paper explaining how they used a pair of machine-learning systems to develop a "universal fingerprint" that can fool the lowest-security fingerprint sensors 76% of the time (it is less effective against higher-security sensors).
There are two times you never want to just “eyeball” it: Conducting brain surgery and matching shades of paint for your walls. Whether you’re painting or repainting, make sure you’re never just “close enough” to the color you want. Not when the Nix Mini Color Sensor can scan and match any color perfectly. Small enough […]
In photography as in film, all the real artistry is in post-production – increasingly so, with the new possibilities cropping up in digital imaging. If you’re ready to get serious about your photography, may we suggest HDR Projects 2018 Pro. As working photographers can tell you, this imaging software can help you re-imagine even the […]
A picture can be worth a heck of a lot more than just a thousand words. If you’ve squinted for ages trying to get just the right photo, you might have the right passion for a career behind the camera. You might even have the right equipment, but do you have the know-how? The Beginner-To-Expert […]