this post was submitted on 02 Dec 2023
441 points (95.7% liked)
Technology
59598 readers
3423 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
This is the best summary I could come up with:
In other words, this is a side channel attack with considerable accuracy, minimal technical requirements, and a ubiquitous data exfiltration point: Microphones, which are everywhere from our laptops, to our wrists, to the very rooms we work in.
To make matters worse, the trio said in their paper that they've achieved what they claim is an accuracy record for acoustic side-channel attacks (ASCA) without relying on a language model.
Luckily in this case it's not power usage, CPU frequencies, blinking lights or RAM buses leaking data unavoidably, but a good old-fashioned problem occurring between the computer and chair that can actually be mitigated somewhat easily.
The researchers note that skilled users able to rely on touch typing are harder to detect accurately, with single-key recognition dropping from 64 to 40 percent at the higher speeds enabled by the technique.
Working among the clacking of phantom keyboards would surely annoy everyone, which is why the researchers suggest only adding the sounds to Skype and Zoom transmissions after they've been recording instead of subjecting employees to real-time noisemakers.
Followup research is now going on into using new sources for recordings, like smart speakers, better keystroke isolation techniques and the addition of a language model to make their acoustic snooping even more effective.
The original article contains 656 words, the summary contains 210 words. Saved 68%. I'm a bot and I'm open source!