IJETEV1I1A009 – ADVANCED TECHNIQUES FOR STRENGTHENING CROSS-MEDIA BIOMETRIC AUTHENTICATION

ABSTRACT –  The rapid growth of digital banking has intensified security threats such as phishing, identity theft, shoulder surfing, and unauthorized access. Traditional authentication methods using passwords, PINs, and OTPs are increasingly vulnerable due to their static nature. This paper proposes a secure multilayer authentication framework integrating behavioral biometrics, Illusion PIN mechanisms, facial biometric recognition, and blockchain-based data security. Keystroke dynamics are used for behavioral authentication, while Illusion PIN protects against observation attacks. Facial recognition using the Grassmann algorithm ensures accurate user verification, and blockchain technology provides tamper-proof transaction storage, enhancing trust and security in digital banking systems. The proposed approach improves resistance to both cyber and physical attacks while maintaining user convenience. This framework offers a reliable solution for next-generation secure digital financial platforms