Rojas, Omar
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Preferred name
Rojas, Omar
Official Name
Rojas Altamirano, Omar Guillermo
Alternative Name
orojas
Main Affiliation
ORCID
Scopus Author ID
22954196800
Researcher ID
K-1066-2013

Research Output
Now showing 1 - 10 of 80
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Publication

Blockchain and off-chain: A Solution for Audit Issues in Supply Chain Systems

2020 , López-Pimentel, Juan Carlos , Rojas, Omar , Raul Monroy

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Time-Varying Spillovers between Currency and Stock Markets in the USA: Historical Evidence From More than Two Centuries

2020 , Semei Coronado , Rangan Gupta , Besma Hkiri , Rojas, Omar

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Causality patterns for Brent, WTI, and Argus oil prices

2016 , Semei Coronado , Thomas M. Fullerton , Rojas, Omar

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Local Search Trajectories over S-box space

2022 , Ismel Martínez-Díaz , Carlos Miguel Legón-Pérez , Rojas, Omar , Guillermo Sosa-Gómez , Diego Oliva

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Bit Independence Criterion Extended to Stream Ciphers

2020 , Evaristo José Madarro-Capó , Carlos Miguel Legón-Pérez , Rojas, Omar , Sosa-Gómez, Guillermo , Raisa Socorro-Llanes

The bit independence criterion was proposed to evaluate the security of the S-boxes used in block ciphers. This paper proposes an algorithm that extends this criterion to evaluate the degree of independence between the bits of inputs and outputs of the stream ciphers. The effectiveness of the algorithm is experimentally confirmed in two scenarios: random outputs independent of the input, in which it does not detect dependence, and in the RC4 ciphers, where it detects significant dependencies related to some known weaknesses. The complexity of the algorithm is estimated based on the number of inputs l, and the dimensions, n and m, of the inputs and outputs, respectively.

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Traceability of Mexican Avocado Supply Chain: A Microservice and Blockchain Technological Solution

2022 , Rojas, Omar , Sosa-Gómez, Guillermo

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Automating the avocado supply chain with Blockchain and Off-chain

2020 , López-Pimentel, Juan Carlos , Rojas, Omar , Alcaraz Rivera, Miguel , Sosa-Gómez, Guillermo , Verteramo-Chiu, L.

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An Empirical Analysis of the Relationships between Crude Oil, Gold and Stock Markets

2018 , Semei Coronado , Jiménez-Rodríguez, Rebeca , Rojas, Omar

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Algorithm to detect and calculate the cerebrospinal fluid (CSF) through Magnetic Resonance Imaging (MRI)

2020 , Enrique González-Martín , Sosa-Gómez, Guillermo , Rojas, Omar

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Study of Parameters in the Genetic Algorithm for the Attack on Block Ciphers

2021 , Osmani Tito-Corrioso , Miguel Angel Borges-Trenard , Mijail Borges-Quintana , Rojas, Omar , Sosa-Gómez, Guillermo

In recent years, the use of Genetic Algorithms (GAs) in symmetric cryptography, in particular in the cryptanalysis of block ciphers, has increased. In this work, the study of certain parameters that intervene in GAs was carried out, such as the time it takes to execute a certain number of iterations, so that a number of generations to be carried out in an available time can be estimated. Accordingly, the size of the set of individuals that constitute admissible solutions for GAs can be chosen. On the other hand, several fitness functions were introduced, and which ones led to better results was analyzed. The experiments were performed with the block ciphers AES(t), for t∈{3,4,7}.

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