Aug. 9, 2023, 11:08 a.m. | Bruce Schneier

Schneier on Security www.schneier.com

Researchers have trained a ML model to detect keystrokes by sound with 95% accuracy.


“A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards”


Abstract: With recent developments in deep learning, the ubiquity of microphones and the rise in online services via personal devices, acoustic side channel attacks present a greater threat to keyboards than ever. This paper presents a practical implementation of a state-of-the-art deep learning model in order to classify laptop keystrokes, using a smartphone integrated microphone. When …

accuracy acoustic attack attacks channel deep learning detect devices keyboards keystrokes machine machine learning ml model online services personal personal devices researchers services side-channel attacks smartphones sound threat ubiquity

Information Security Engineers

@ D. E. Shaw Research | New York City

Technology Security Analyst

@ Halton Region | Oakville, Ontario, Canada

Senior Cyber Security Analyst

@ Valley Water | San Jose, CA

Sr. Staff Firmware Engineer – Networking & Firewall

@ Axiado | Bengaluru, India

Compliance Architect / Product Security Sr. Engineer/Expert (f/m/d)

@ SAP | Walldorf, DE, 69190

SAP Security Administrator

@ FARO Technologies | EMEA-Portugal