Typing behavior dynamics, also known as keystroke dynamics, is the study of how people type on a keyboard. It involves analyzing the timing and sequence of keystrokes in order to identify unique patterns that are characteristic of an individual’s typing style.
Artificial intelligence (AI) can be used to analyze keystroke dynamics in order to detect online fraud. For example, AI algorithms can be trained to recognize the unique typing patterns of an individual, and can use this information to verify the identity of a user attempting to log in to a system or make an online transaction.
If the AI algorithm detects a significant deviation from the user’s normal typing pattern, it may flag the activity as potentially fraudulent and alert the system administrator or security team. This can help to prevent unauthorized access to sensitive information or financial accounts and protect against online fraud.
Overall, the use of keystroke dynamics and AI for fraud detection can be an effective way to enhance the security of online systems and protect against fraudulent activity.
