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1–10 of 12 articles
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Dark Reading
Sound waves generated by pixels on a screen can transmit information across seemingly impenetrable air gaps.
Bleeping Computer
Researchers have demonstrated a new acoustic side-channel attack on keyboards that can deduce user input based on their typing patterns, even in poor conditions, such as environments with noise. [...]
Bleeping Computer
Researchers have demonstrated a new acoustic side-channel attack on keyboards that can deduce user input based on their typing patterns, even in poor conditions, such as environments with noise. [...]
Graham Cluley
Razzlekhan, the self-proclaimed Crocodile of Wall Street, pleads guilty to the biggest crypto laundering scheme in history, and just how safe are you typing while on a Zoom call? Meanwhile, Graham rants about public EV chargers. All this and more is discussed in the latest edition of the award-winning "Smashing Security" podcast by cybersecurity veterans Graham Cluley and Carole Theriault.
Bleeping Computer
A team of researchers from British universities has trained a deep learning model that can steal data from keyboard keystrokes recorded using a microphone with an accuracy of 95%. [...]
The Register
Eve's dropping in on Alice and Bob
The Register
Top brass splash cash on acoustic targeting, hypersonic missiles…and Red Hat Keir Starmer could ramp up the UK's defense spending plans faster than planned as the MoD reeled off new purchases for Britain's armed forces.…
Dark Reading
An international group of researchers found that simply rerecording deepfake audio with natural acoustics in the background allows it to bypass detection models at a higher-than-expected rate.
The Hacker News
A group of academics has devised a "deep learning-based acoustic side-channel attack" that can be used to classify laptop keystrokes that are recorded using a nearby phone with 95% accuracy. "When trained on keystrokes recorded using the video conferencing software Zoom, an accuracy of 93% was achieved, a new best for the medium," researchers Joshua Harrison, Ehsan Toreini, and Maryam Mehrnezhad