E. Inzunza-González

Publications

2 Encrypted Audio Communication Based On Synchronized Unified Chaotic Systems

Authors: C. Cruz-Hernández, E.E.García-Guerrero, E. Inzunza-González, R.M. López-Gutiérrez H. Serrano-Guerrero

Abstract:

In this paper, encrypted audio communications based on synchronization of coupled unified chaotic systems in master-slave configuration is numerically studied. We transmit the encrypted audio messages by using two unsecure channels. Encoding, transmission, and decoding audio messages in chaotic communication is presented.

Keywords: Chaos, Synchronization, Audio encrypted

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1 Software to Encrypt Messages Using Public-Key Cryptography

Authors: C. Cruz-Hernández, E. Inzunza-González, R. M. López-Gutiérrez, E. E. García-Guerrero, L. Cardoza- Avendaño, H. Serrano-Guerrero

Abstract:

In this paper the development of a software to encrypt messages with asymmetric cryptography is presented. In particular, is used the RSA (Rivest, Shamir and Adleman) algorithm to encrypt alphanumeric information. The software allows to generate different public keys from two prime numbers provided by the user, the user must then select a public-key to generate the corresponding private-key. To encrypt the information, the user must provide the public-key of the recipient as well as the message to be encrypted. The generated ciphertext can be sent through an insecure channel, so that would be very difficult to be interpreted by an intruder or attacker. At the end of the communication, the recipient can decrypt the original message if provide his/her public-key and his/her corresponding private-key.

Keywords: software, Asymmetric cryptography, Prime number, Publickey, Private-key

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Abstracts

1 Sorting Fish by Hu Moments

Authors: E. Inzunza-González, E. E. García-Guerrero, J. M. Hernández-Ontiveros, O. R. López-Bonilla

Abstract:

This paper presents the implementation of an algorithm that identifies and accounts different fish species: Catfish, Sea bream, Sawfish, Tilapia, and Totoaba. The main contribution of the method is the fusion of the characteristics of invariance to the position, rotation and scale of the Hu moments, with the proper counting of fish. The identification and counting is performed, from an image under different noise conditions. From the experimental results obtained, it is inferred the potentiality of the proposed algorithm to be applied in different scenarios of aquaculture production.

Keywords: Pattern Recognition, Digital Image Processing, counting fish, invariant moments

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