Rojas, Omar
Main Affiliation
Preferred name
Rojas, Omar
Official Name
Rojas Altamirano, Omar Guillermo
ORCID
0000-0002-0681-3833 
Researcher ID
K-1066-2013
Scopus Author ID
22954196800
85 results
Now showing 1 - 10 of 85
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Item type:Publication, Determination of the Representative Socioeconomic Level by BSA in the Mexican Republic(CEIPA Business School, 2018); ; The aim of this article is to determine the socioeconomic level (SEL) with disaggregation of the Basic Statistical Area (BSA) in the Mexican Republic. The methodology used is the one established by the Mexican Association of Market Research Agencies (AMAI) along with the National Institute of Statistics and Geography (INEGI). The Clustering of the BSAs was carried out according to variables contained in the Population and Housing Census of 2010, through Gaussian mixture models, learning neural networks and finally, by defining the labels corresponding to each SEL. We found the existence of a representative SEL for each BSA. In addition, the definition of each socioeconomic level shows good results with an average of 90.86% of correctly labeled elements.23 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Combined and General Methodologies of Key Space Partition for the Cryptanalysis of Block Ciphers(2024); <jats:p>This paper proposes two new methods of key space partitioning for the cryptanalysis of block ciphers. The first one is called combined methodology of key space partition (CoMeKSPar), which allows us to simultaneously set some of the first and last consecutive bits of the key. In this way, the search is performed using the remaining middle bits. CoMeKSPar is a combination of two methods already proposed in the scientific literature, the Borges, Borges, Monier (BBM) and the Tito, Borges, Borges (TBB). The second method is called the general algorithm of key space reduction (GAKSRed), which makes it possible to perform a genetic algorithm search in the space formed by the unknown bits of the key, regardless of their distribution in the binary block. Furthermore, a method of attacking block ciphers is presented for the case where some key bits are known; the basic idea is to deduce some of the remaining bits of the block. An advantage of these methods is that they allow parallel computing, which allows simultaneous searches in different sub-blocks of key bits, thereby increasing the probability of success. The experiments are performed with the KLEIN (Small) lightweight block cipher using the genetic algorithm.</jats:p>15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, New Weak Keys with Parity Patterns in the RC4 Stream Cipher(2024); <jats:p>The RC4 cryptographic algorithm is the most extensively studied stream cipher of the past two decades. This extensive research has resulted in numerous publications, many of which identify various vulnerabilities. Although these vulnerabilities do not preclude the correct use of the algorithm, they complicate its practical implementation. In this paper, we present a novel weakness in the RC4 cipher. Our findings indicate that, for input keys exhibiting certain patterns, the parity of the values in the output permutation of the KSA can be determined with high probability from the parity of its position in the output permutation. Furthermore, the use of keys with these specific patterns leads to noticeable distortions in several bytes of the RC4 output.</jats:p>14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An Empirical Investigation between FDI, Tourism, and Trade on CO2 Emission in Asia: Testing Environmental Kuznet Curve and Pollution Haven Hypothesis(2022); 1 3Scopus© Citations 9 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Crecimiento económico, competitividad y gestión de organizaciones: miradas y reflexiones.Con esta obra continúa la labor promovida por la Red de Desarrollo Económico del IPN y la Escuela de Ciencias Económicas y Empresariales de la Universidad Panamericana, campus Guadalajara, para generar la colección ¿Estudios Inter y Transdisciplinarios sobre Economía, Competitividad y Gestión de las Organizaciones". Los temas que se abordan en esta obra brindan significado a información de diversa índole: importantes reflexiones en torno a la gestión de organizaciones, a su competitividad y al crecimiento de las economías, así como la mejora de las sociedades del conocimiento en el siglo XXI. Cada capítulo es una directriz que abre horizontes hacia la creación de valor. Mientras mejor se sistematice la informacio¿n requerida como insumo en la generacio¿n de un servicio, cuanto mejores sean los ana¿lisis de la informacio¿n disponible, ma¿s progresara¿ la toma de decisiones asociada al servicio y su potencial innovacio¿n. En la medida que se siga la pauta de incorporar informacio¿n estructurada y, en consecuencia, conocimiento en la produccio¿n de bienes y en la generacio¿n de servicios, se tendra¿, a su vez, la medida de la construccio¿n de una economi¿a del conocimiento.41 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A New Family of Boolean Functions with Good Cryptographic Properties(2021); ; Evaristo José Madarro-Capó<jats:p>In 2005, Philippe Guillot presented a new construction of Boolean functions using linear codes as an extension of the Maiorana–McFarland’s (MM) construction of bent functions. In this paper, we study a new family of Boolean functions with cryptographically strong properties, such as non-linearity, propagation criterion, resiliency, and balance. The construction of cryptographically strong Boolean functions is a daunting task, and there is currently a wide range of algebraic techniques and heuristics for constructing such functions; however, these methods can be complex, computationally difficult to implement, and not always produce a sufficient variety of functions. We present in this paper a construction of Boolean functions using algebraic codes following Guillot’s work.</jats:p>5 11Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, <i>Time‐varying</i> causality between bond and oil markets of the United States: Evidence from over one and half centuries of data(2021)2 12Scopus© Citations 11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adaptive Market Hypothesis: Evidence from the Mexican Stock Exchange Index(2018); 1 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Selecting an Effective Entropy Estimator for Short Sequences of Bits and Bytes with Maximum Entropy(2021); <jats:p>Entropy makes it possible to measure the uncertainty about an information source from the distribution of its output symbols. It is known that the maximum Shannon’s entropy of a discrete source of information is reached when its symbols follow a Uniform distribution. In cryptography, these sources have great applications since they allow for the highest security standards to be reached. In this work, the most effective estimator is selected to estimate entropy in short samples of bytes and bits with maximum entropy. For this, 18 estimators were compared. Results concerning the comparisons published in the literature between these estimators are discussed. The most suitable estimator is determined experimentally, based on its bias, the mean square error short samples of bytes and bits.</jats:p>1Scopus© Citations 16 8