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M. A. Murillo-Escobar

Researcher at Ensenada Center for Scientific Research and Higher Education

Publications -  23
Citations -  797

M. A. Murillo-Escobar is an academic researcher from Ensenada Center for Scientific Research and Higher Education. The author has contributed to research in topics: Encryption & Computer science. The author has an hindex of 8, co-authored 14 publications receiving 550 citations. Previous affiliations of M. A. Murillo-Escobar include Autonomous University of Baja California.

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A RGB image encryption algorithm based on total plain image characteristics and chaos

TL;DR: A color image encryption algorithm based on total plain image characteristics (to resist a chosen/known plain image attack), and 1D logistic map with optimized distribution (for fast encryption process) based on Murillo-Escobar?s algorithm confirm that the RGB image encryption is fast and secure against several known attacks.
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A novel pseudorandom number generator based on pseudorandomly enhanced logistic map

TL;DR: Based on security results, few arithmetic operations required, and high output rate, the proposed PRNG–PELM scheme can be implemented in secure encryption applications, even in embedded systems with limited hardware resources.
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A robust embedded biometric authentication system based on fingerprint and chaotic encryption

TL;DR: A novel fingerprint template protection scheme based on chaotic encryption by using the logistic map and Murillo-Escobar's algorithm and a novel implementation in a 32 bit microcontroller for secure authentication systems to show its application on embedded expert systems.
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Suggested Integral Analysis for Chaos-Based Image Cryptosystems

TL;DR: This paper proposes an integral analysis framework related to comprehensive security analysis, cost and performance, and the algorithm and implementation for chaos-based image cryptosystems as an effective approach to improve security.
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A Double Chaotic Layer Encryption Algorithm for Clinical Signals in Telemedicine

TL;DR: This work proposes a novel symmetric encryption algorithm based on logistic map with double chaotic layer encryption (DCLE) in diffusion process and just one round of confusion-diffusion for the confidentiality and privacy of clinical information such as electrocardiograms, electroencephalograms, and blood pressure for applications in telemedicine.