Keystroke Biometric Recognition on Long - Text Input : A Feasibility Study
نویسندگان
چکیده
the length of the testing text. In summary, we found the keystroke biometric effective for identifying up to 30 users inputting text under the following conditions: sufficient training and testing text length, sufficient number of enrollment samples, and same keyboard type used for enrollment and testing.
منابع مشابه
Dynamic shuffling was also evaluated as a process applied to training samples for neural networks as a means of enhancing sample classification and reducing false acceptance and rejection rates during keystroke analysis
While most previous keystroke biometric studies dealt with short input like passwords, we focused on long-text input for applications such as identifying perpetrators of inappropriate e-mail or fraudulent Internet activity. A Java applet collected raw keystroke data over the Internet, appropriate long-text-input features were extracted, and a pattern classifier made identification decisions. Ex...
متن کاملA Keystroke Biometric Systemfor Long-Text Input
A novel keystroke biometric system for long-text input was developed and evaluated for user identification and authentication applications. The system consists of a Java applet to collect raw keystroke data over the Internet, a feature extractor, and pattern classifiers to make identification or authentication decisions. Experiments on more than 100 participants investigated two input modes—cop...
متن کاملObfuscating Keystroke Time Intervals to Avoid Identification and Impersonation
There are numerous opportunities for adversaries to observe user behavior remotely on the web. Additionally, keystroke biometric algorithms have advanced to the point where user identification and soft biometric trait recognition rates are commercially viable. This presents a privacy concern because masking spatial information, such as IP address, is not sufficient as users become more identifi...
متن کاملKeystroke Biometric Identification and Authentication on Long-Text Input
A novel keystroke biometric system for long-text input was developed and evaluated for user identification and authentication applications. The system consists of a Java applet to collect raw keystroke data over the internet, a feature extractor, and pattern classifiers to make identification or authentication decisions. Experiments on over 100 subjects investigated two input modes – copy and f...
متن کاملLong-Text Keystroke Biometric Applications over the Internet
Biometrics, the computer-based verification or identification of an individual, is becoming more and more essential due to the increasing demand for high-security systems. Accurate and effective keystroke biometric technology can help provide a major boost to the security of electronic commerce, and it can help curb identify theft. We focus here on two keystroke biometric applications that oper...
متن کامل