Research led by Cornell University and other prestigious institutions has made light of a new AI-powered method that can identify passwords by simply listening to typing on a keyboard.
This study demonstrated the potential risks posed by everyday devices as well as the application of artificial intelligence in cybersecurity.
听
How Does This Work?
听
The method uses AI to study the unique sounds each keyboard key makes. By identifying these sounds, the AI can guess what鈥檚 being typed.
The core of the experiment relied heavily on the advanced microphones found in modern smartphones and laptops.
These microphones, with their enhanced sensitivity, could detect and differentiate between the sounds produced by keys on a MacBook Pro.
听
The Accuracy of AI
听
The result was a success rate of 95% in identifying the exact keystrokes, showing how accurate this AI-driven method is.
More tests were conducted over popular video communication platforms, Zoom and Skype. The results were still impressively high, as the AI achieved 93% accuracy on Zoom calls and about 92% on Skype.
These figures highlight the technique鈥檚 effectiveness, even with potential background noises and other audio distractions present during such calls.
听
More from News
- From Workouts To Managing Jetlag: The British Tech Scale-Up That Just Hit One Million Users Globally Appoints New CEO
- Hackers Tricked Instagram鈥檚 AI To Leak Your Log In Details 鈥 How Can Users Stay Protected?
- New Research Reveals The UK鈥檚 Top 10 鈥淔uture-Ready鈥 Cities
- New Research Shows How Elections Are Impacting The Job Market 鈥 Here鈥檚 How
- Is London Becoming The World鈥檚 Next AI Capital?
- Google鈥檚 AI Can鈥檛 Even Spell 鈥淕oogle鈥 鈥 So Why Is It Replacing Search?
- Will AI Labels Actually Save YouTube From AI Slop?
- The Rise Of 鈥淣ew Brand鈥 Cybercrime Groups And The Business Of Ransomware
The Challenges that Prevent the AI鈥檚 Efficiency
听
The AI method, while showing promising results, isn鈥檛 perfect. One major inefficient step is the need for the AI to train separately for each type of keyboard, meaning it can鈥檛 be broadly applied to every keyboard out there.
This will also meam, though, that once trained, the volume or brand of a keyboard wont provide protection either. Even the models that have silent keyboards are vulnerable to this advanced listening technique.
听
Securing Against Advanced Threats
听
Shifting to biometric security options, like fingerprint or facial recognition, can offer stronger defense against such cyber threats. Modern technology gives users alternative security tools.
Features like Windows Hello and Apple鈥檚 Touch ID offer both convenience and security, reducing the need for typing out passwords.
Trusted password managers can also be useful, because users have the ability to store their information securely. These tools also usually have options to suggest diverse, strong passwords for you.
These findings are a reminder for all internet users to protect their data and passwords as we are witnessing cybersecurity become more and more vulnerable.
Cyber criminals are more capable than ever to compromise just anybody鈥檚 privacy, but equally, many resources and precautionary tools are made for us to prevent breaches.
听
Minimising Keyboard Detectors Accuracy
听
According to research, one of the most effective strategies to prevent these AI-driven keystroke recognition attacks is to change one鈥檚 typing style.
Interestingly, touch typing, which relies on muscle memory rather than sight, was found to听lower the AI鈥檚 accuracy in identifying keystrokes, dropping it from 64% to 40%.
Experts also recommend using randomised passwords with a variety of cases, symbols and numbers, to better prevent the risk of听potential cyber threats.