Foreword of Special Issue on : Current Research Trends in Secure Computer Vision, IoT and Machine Learning

Dinesh Goyal
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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.
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特刊前言:安全计算机视觉、物联网和机器学习的当前研究趋势
安全一直是最永恒的领域,随着计算机视觉、物联网和机器学习等其他领域和应用的进步,安全是当今发展最快的技术领域,旨在促进全球人类生活的改善,并且高度主导使用数据科学、人工智能和机器学习的统计和数据分析。所有这些应用领域都产生了新的安全需求。这些领域的最新进展是由新的学习算法和理论的发展以及在线数据可用性和低成本计算的持续爆炸所推动的。随着技术的不断进步,扩展需求对系统及其架构的安全性提出了挑战。因此,在计算机视觉、物联网模型和使用机器学习的数据分析领域,迫切需要安全模型或架构。
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