{'fraction_non_alphanumeric': 0.010825439783491205, 'fraction_numerical': 0.0, 'mean_word_length': 5.491228070175438, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Securing biometric template using double hill cipher with self-invertible key and random permutation of pixels locations

Biometric could play an essential role in the future authentication system. So the security of biometric data is becoming a challenging problem now a days. We are proposing a cryptographic algorithm for securing biometric template using double hill cipher with the random permutation of pixels locations and self-invertible key matrix. The random permutation creates diffusion by permuting the location of image pixels and self-invertible key matrix creates a confusion. The proposed technique improve the biometric template security and solves the drawbacks of conventional hill algorithm and advance hill algorithm.