Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/124221
Título: Current Research Trends in Secure Computer Vision, IoT and Machine Learning
Autores/as: Goyal, Dinesh
Kumar, Anil
Dadheech, Pankaj
Travieso-González, Carlos M. 
Clasificación UNESCO: 3307 Tecnología electrónica
Fecha de publicación: 2023
Publicación seriada: Journal of Discrete Mathematical Sciences and Cryptography 
Resumen: Security has been the most perpetual domain, with advancements in other domains and applications like Computer vision, IoT and Machine learning, is today’s most rapidly growing technical domains to facilitate better human life across the globe and is highly dominated with statistics and data analytics using data science, artificial intelligence, and Machine Learning. All these application areas have developed new security requirements. Recent progress in these fields has been driven both by the development of new learning algorithms and theory by the ongoing explosion in the availability of online data and low-cost computation. With more advancements in technology compelled with need of scaling has provided a challenge to security of system and its architecture. Thus there is a diehard need for secure models or architectures in domains of computer vision, IoT models and Data analytics using Machine Learning.
URI: http://hdl.handle.net/10553/124221
ISSN: 0972-0529
DOI: 10.47974/JDMSC-26-3-Foreword
Fuente: Journal of Discrete Mathematical Sciences and Cryptography[ISSN 0972-0529],v. 26 (3), p. i-vii, (Enero 2023)
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