Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/124221
Title: Current Research Trends in Secure Computer Vision, IoT and Machine Learning
Authors: Goyal, Dinesh
Kumar, Anil
Dadheech, Pankaj
Travieso-González, Carlos M. 
UNESCO Clasification: 3307 Tecnología electrónica
Issue Date: 2023
Journal: Journal of Discrete Mathematical Sciences and Cryptography 
Abstract: 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
Source: Journal of Discrete Mathematical Sciences and Cryptography[ISSN 0972-0529],v. 26 (3), p. i-vii, (Enero 2023)
Appears in Collections:Comentario
Show full item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.