Behavioral biometrics is a form of authentication used for computer system security, typically used to identify a user with an individual habit or behavior that is unique to that person. This form of authentication is based on tracking users by their behavioral patterns, such as how they interact with their computer. These patterns may include keystroke dynamics, mouse movements, hand and finger gestures, typing speed, and other factors.
Behavioral biometrics is a field of study that uses artificial intelligence and machine learning algorithms to analyze user behavior. Through the collection and analysis of data points from user interactions, such as when they type, how often they click, what they type, and where they click, a machine learning model can detect unique behaviors that are associated with a particular individual.
The first use of behavioral biometrics in computer systems date back to the early 1990s, when a system based on keystroke dynamics was developed for military applications. Since then, the technology has been further advanced through advancements in machine learning algorithms. This technology is now being used widely to authenticate user activity on a range of devices, such as computers, tablets, and mobile phones.
The main advantage of behavioral biometrics is its ability to recognize legitimate users based on their behavior, rather than requiring users to remember passwords or carry physical tokens. Additionally, since behavioral biometrics is highly customizable, it is able to detect subtle changes in user behavior that could indicate attempts to gain unauthorized access to a system. As such, this form of authentication can provide a high degree of security.
Despite the many benefits, behavioral biometrics also has some drawbacks, such as the requirement for frequent updates to the recognition algorithm in order to maintain accuracy and effectiveness. Additionally, the accuracy of the technology is dependent on the amount of data collected. As such, this form of authentication may not be suitable for high-security applications.
