A Cancelable Biometric Security Framework Based on RNA Encryption and Genetic Algorithms

Biometric Template Attacks and Recent Protection Mechanisms: A Survey

“…Other attacks, such as zero effort, stolen biometrics, stolen tokens, and worse stolen token-case attacks, were mitigated on iris features using an aggregation learning of patch-level ordinal relations proposed by Singh et al [95]. Mohamed et al [105] also mitigated correlation attacks on multimodal features using a genetic algorithm-based DNA and RNA approach. Likewise, despite overcoming inversion, brute-force, and ARM using adaptive, Mohamed et al [105] is able to use the same approach to wade substitution and presentation attacks on multimodal features.…”

“…Mohamed et al [105] also mitigated correlation attacks on multimodal features using a genetic algorithm-based DNA and RNA approach. Likewise, despite overcoming inversion, brute-force, and ARM using adaptive, Mohamed et al [105] is able to use the same approach to wade substitution and presentation attacks on multimodal features. Similarly, Walia et al [112] utilized the same deep feature unification approach for evading brute-force and ARM attacks to overcome dictionary and substitution attacks, while Singh et al [114] also mitigated attacks such as zero effort, stolen biometrics, and stolen key attacks from iris and knuckle features using the phase-wise incremental learning approach.…”

“…Researchers have also proposed different techniques to avert invasion in other single modalities such as palmprint [101], finger vein [104], and in multimodalities (which involves the fusion of two or more different features) such as in [50,51,102,105]. In [101], Belwant and Deshmukh utilized the local binary pattern and random projection to generate a cancelable and non-invertible palmprint template.…”

“…At the signal and feature levels, multi-level manipulations are performed to corrupt the biometric information via user-specific tokenized parameters, which have been discovered to offer improved performance and security against information leakage. Mohamed et al [105] proposed a multi-modal template protection mechanism based on the integration of an optimized Genetic Algorithm (GA) with DNA and RNA encryption techniques. The suggested system generates completely distorted biometric templates by encrypting the primary distinct features of the biometric samples.…”