Scientists can hack our minds with cheap EEG gear
Inexpensive brain-computer interfaces could be used maliciously to obtain private information such as PINs stored in one's memory, according to researchers.
- Are you ready for brain spyware?
- Are the deepest secrets of your mind safe?
- Could thieves trick you into revealing your bank card PIN or computer passwords just by thinking about them?
-->Theoretically, it could happen.
Ivan Martinovic of the University of Oxford and colleagues at the
University of Geneva and University of California at Berkeley describe
research into that question in a paper
entitled "On the Feasibility of Side-Channel Attacks With
Brain-Computer Interfaces" presented earlier this month at the 21st
USENIX Security Symposium.
The research was inspired by the growing number of games and other mind
apps available for low-cost consumer EEG devices such as Emotiv's EPOC headset, which lets users interact with computers using their thoughts alone.
Malicious developers could create a "brain spyware" app designed to
trick users into thinking about sensitive information, which it would
then steal.
The research focused on the P300
brain signal, often emitted when something meaningful is recognized. It
has been considered in the design of recent lie detectors.
Twenty eight subjects using Emotiv headsets were shown images such as
numbers, bank cards, ATMs, and people's faces while being asked specific
questions that target specific information.
Their brain waves, specifically the P300, were treated with signal
processing software.
The scientists then sat their subjects in front of a computer screen and showed them images of banks, people, and PIN numbers.
They then tracked the readings coming off of the brain, specifically a signal known as P300.
The
P300 signal is used by the brain when a person recognizes something
meaningful, such as someone or something they interact with on a regular
basis.
"The captured EEG signal could reveal the user's private information
about, e.g., bank cards, PIN numbers," the researchers conclude.
"This is still very noisy data signal, (and the) devices are not made
for detecting these kinds of patterns," Martinovic told the conference,
"but it was possible to see that in any of these experiments, we could
actually perform better than a pure random guess."
He noted that the quality of the EEG devices and the signals they
produce is bound to improve, and attackers could exploit that increased
accuracy.
"There's a question about whether there is a potential for more
sophisticated attacks -- can we embed these attacks in videos, online
games?"
In the future when you're playing Professor X and controlling things your thoughts, have a care for who might be eavesdropping.
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