In particular, it focuses on emerging technologies such as wireless communications, mobile networks, Internet of things [IoT], sustainability, and edge network models. The contributions cover a number of key research ...
详细信息
ISBN:
(数字)9783030345150
ISBN:
(纸本)9783030345143
In particular, it focuses on emerging technologies such as wireless communications, mobile networks, Internet of things [IoT], sustainability, and edge network models. The contributions cover a number of key research issues in software-defined networks, blockchain technologies, big data, edge/fog computing, computer vision, sentiment analysis, cryptography, energy-efficient systems, and cognitive platforms.
Researchers, software developers, practitioners and students interested in the field of data and web technologies will find this book useful and a reference for their activity.
ISBN:
(数字)9783030706395
ISBN:
(纸本)9783030706388
Researchers, software developers, practitioners and students interested in the field of data and web technologies will find this book useful and a reference for their activity.
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comp...
详细信息
ISBN:
(数字)9783030895082
ISBN:
(纸本)9783030895075
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologi...
详细信息
ISBN:
(数字)9789811629341
ISBN:
(纸本)9789811629334
This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comp...
详细信息
ISBN:
(数字)9783030895112
ISBN:
(纸本)9783030895105
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
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