Keystroke Identifier Using Fuzzy Logic to Increase Password Security

A. Shaout, Nathan Schmidt
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引用次数: 1

Abstract

Cybersecurity is a major issue today. It is predicted that cybercrime will cost the world $6 trillion annually by 2021. It is important to make logins secure as well as to make advances in security in order to catch cybercriminals. This paper will design and create a device that will use Fuzzy logic to identify a person by the rhythm and frequency of their typing. The device will take data from a user from a normal password entry session. This data will be used to make a Fuzzy system that will be able to identify the user by their typing speed. An application of this project could be used to make a more secure log-in system for a user. The log-in system would not only check that the correct password was entered but also that the rhythm of how the password was typed matched the user. Another application of this system could be used to help catch cybercriminals. A cybercriminal may have a certain rhythm at which they type at and this could be used like a fingerprint to help officials locate cybercriminals.
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使用模糊逻辑的击键标识符提高密码安全性
网络安全是当今的一个主要问题。据预测,到2021年,网络犯罪将使全球每年损失6万亿美元。重要的是确保登录安全以及在安全方面取得进展,以便抓住网络罪犯。本文将设计和创建一个设备,将使用模糊逻辑来识别一个人的节奏和频率,他们的打字。该设备将从普通密码输入会话中获取用户的数据。这些数据将被用来制作一个模糊系统,该系统将能够通过用户的打字速度来识别用户。这个项目的一个应用程序可以用来为用户制作一个更安全的登录系统。登录系统不仅会检查输入的密码是否正确,还会检查输入密码的节奏是否与用户相符。该系统的另一个应用是帮助抓捕网络罪犯。网络罪犯可能有一定的打字节奏,这可以像指纹一样用来帮助官员定位网络罪犯。
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