A Dynamic Security Protocol for Face Recognition Systems Using Seismic Waves

Shankar, Sheela; Udupi, V. R.

doi:10.5815/ijigsp.2015.04.03

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…a person has only one face, five fingers on each hand. Many security protocols for biometric systems have been identified, for instance the one using seismic waves as in [28]. In general the error rate of a pattern recognition system and in particular an automated biometric system is dependent on several factors.…”

Section: Privacy and Security Concernsmentioning

confidence: 99%

Biometric Verification, Security Concerns and Related Issues - A Comprehensive Study

Shankar¹,

Udupi²,

Gavas³

2016

IJITCS

Self Cite

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There has been many attempts to make authentication processes more robust. Biometric techniques are one among them. Biometrics is unique to an individual and hence their usage can overcome most of the issues in conventional authentication process. This paper makes a scrutinizing study of the existing biometric techniques, their usage and limitations pertaining to their deployment in real time cases. It also deals with the motivation behind adapting biometrics in present day scenarios. The paper also makes an attempt to throw light on the technical and security related issues pertaining to biometric systems.

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Section: Privacy and Security Concernsmentioning

confidence: 99%

Biometric Verification, Security Concerns and Related Issues - A Comprehensive Study

Shankar¹,

Udupi²,

Gavas³

2016

IJITCS

Self Cite

View full text Add to dashboard Cite

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The Primes are Everywhere, but Nowhere…

Oleschko

Khrennikov

Oleshko

et al. 2017

STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics &Amp; Health

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Image encryption framework based on multi-chaotic maps and equal pixel values quantization

Kolivand,

Hamood,

Asadianfam

et al. 2024

Multimed Tools Appl

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The importance of image encryption has considerably increased, especially after the dramatic evolution of the internet and network communications, due to the simplicity of capturing and transferring digital images. Although there are several encryption approaches, chaos-based image encryption is considered the most appropriate approach for image applications because of its sensitivity to initial conditions and control parameters. Confusion and diffusion methods have been used in conventional image encryption methods, but the ideal encrypted image has not yet been achieved. This research aims to generate an encrypted image free of statistical information to make cryptanalysis infeasible. Additionally, the motivation behind this work lies in addressing the shortcomings of conventional image encryption methods, which have not yet achieved the ideal encrypted image. The proposed framework aims to overcome these challenges by introducing a new method, Equal Pixel Values Quantization (EPVQ), along with enhancing the confusion and diffusion processes using chaotic maps and additive white Gaussian noise. Key security, statistical properties of encrypted images, and withstanding differential attacks are the most important issues in the field of image encryption. Therefore, a new method, Equal Pixel Values Quantization (EPVQ), was introduced in this study in addition to the proposed confusion and diffusion methods to achieve an ideal image encryption framework. Generally, the confusion method uses Sensitive Logistic Map (SLM), Henon Map, and additive white Gaussian noise to generate random numbers for use in the pixel permutation method. However, the diffusion method uses the Extended Bernoulli Map (EBM), Tinkerbell, Burgers, and Ricker maps to generate the random matrix. Internal Interaction between Image Pixels (IIIP) was used to implement the XOR (Exclusive OR) operator between the random matrix and scrambled image. Basically, the EPVQ method was used to idealize the histogram and information entropy of the ciphered image. The correlation between adjacent pixels was minimized to have a very small value (×10−3). Besides, the key space was extended to be very large (2450) considering the key sensitivity to hinder brute force attacks. Finally, a histogram was idealized to be perfectly equal in all occurrences, and the resulting information entropy was equal to the ideal value (8), which means that the resulting encrypted image is free of statistical properties in terms of the histogram and information entropy. Based on the findings, the high randomness of the generated random sequences of the proposed confusion and diffusion methods is capable of producing a robust image encryption framework against all types of cryptanalysis attacks.

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A Dynamic Security Protocol for Face Recognition Systems Using Seismic Waves

Cited by 4 publications

References 21 publications

Biometric Verification, Security Concerns and Related Issues - A Comprehensive Study

Biometric Verification, Security Concerns and Related Issues - A Comprehensive Study

The Primes are Everywhere, but Nowhere…

Image encryption framework based on multi-chaotic maps and equal pixel values quantization

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