ImageGuard: Advanced User Authentication via Dynamic Graphical Password Manipulation and Secured Image Sequences

User authentication is a critical aspect of cybersecurity, traditionally relying on alphanumeric passwords. However, these passwords are prone to various attacks, including brute force, dictionary, and shoulder-surfing attacks. As a result, there has been a shift towards more secure and user-friendly authentication methods. This study evaluates a secured image sequence-based user authentication system utilizing graphical password manipulation. By leveraging the human brain's superior ability to recognize and remember images over text, this system offers enhanced security against traditional password vulnerabilities such as brute force or dictionary attacks. The methodology involves click-based and choice-based graphical techniques, ensuring robust and user-friendly authentication. The proposed system demonstrates significant improvements in password security and usability, achieving a success rate of 92% with high user satisfaction.