Keystroke Dynamics for User Identification

Authentication and intrusion detection are crucial aspects of online security. Conventional authentication methods, such as passwords, have limitations, and biometric systems may require additional hardware or be unsuitable for specific user groups. Recent research highlights the need for accessible and inclusive authentication systems for all users, including elderly [14, 24] and disabled individuals [26]. Keystroke dynamics are a promising means for improved user authentication and identification. By analyzing keystroke patterns, a user can be identified based on their distinctive typing style, regardless of age or physical ability. Furthermore, keystroke dynamics can aid in detecting an intruder who has gained unauthorized access to a system, making such it potentially a useful tool for intrusion detection. Compared to traditional authentication methods such as passwords, keystroke dynamics offer several benefits. First, keystroke dynamics are challenging to break since people tend to have distinctive typing patterns that may be difficult to replicate or guess.