It is now possible to detect the keystrokes using the Wifi Signals, Scientists from Michigan State University and the Nanjing University in China have discovered a method that Monitors your keystrokes using Wifi Signals.
Hackers Can Use Wi-Fi Signals To Know What You Are Typing
You think Keystrokes are private on your
computer? You need to think again, normally users type passwords,
emails and instant messages, Social security number, credit card numbers
and password and much more private information.
We have recently seen Researchers from
Binghamton University in the US managed to find out that hackers can
easily exploit smartwatches or any other fitness tracker devices to
steal ATM/Credit Card PIN or passwords.
Researchers from Michigan state
University and the Nanjing Universty successfully built a keystroke
recognition system which they call WiKey which can detect keystrokes
using the Wi-Fi signals from a plain router.
According to Softpedia, there are total two ways how this could be accomplished
1) In WiKey researchers
employed off-the-shelf equipment like TP-Link TL-WR1043ND WiFi router
and a Lenovo X200 laptop. They used the Router’s MIMO ( Multiple-Input
and Multiple-Output) capabilities to gather the tiny shifts in Wifi
Signals which refer to a set of functions that allow each of the
antennas to send multiple Wi-Fi signals on the same radio channel.
Next, they used Multiple Wi-Fi signals
like a scanner and swept and swept the room to create a map of the
environment. That’s why WiKey works in a room which has less movement.
2) The second technique
also needs WiKey to detect key strokes. Whenever any person stands in
front of the laptop or computer and starts typing. WiKey is capable of
picking up disruptions in the WiFi signals caused by the tiny shift of
the user’s hand, finger and keys.
These two techniques have proven to be
very deadly if it was in the hands of any skilled hacker. The accuracy
to detect the keystroke varies between 77% to 97.5%. However, the
accuracy to detect the keystrokes were 77.43% for those users who have
the ability to type faster.
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