Hidden Bibliographic Details
| Other authors / contributors: | Makkar, Aaisha, editor.
Kumar, Neeraj (Computer scientist), editor.
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| ISBN: | 9789811661860
9811661863
9811661855
9789811661853
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| Notes: | Includes bibliographical references.
Print version record.
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| Summary: | This book addresses the issues with privacy and security in Internet of things (IoT) networks which are susceptible to cyber-attacks and proposes deep learning-based approaches using artificial neural networks models to achieve a safer and more secured IoT environment. Due to the inadequacy of existing solutions to cover the entire IoT network security spectrum, the book utilizes artificial neural network models, which are used to classify, recognize, and model complex data including images, voice, and text, to enhance the level of security and privacy of IoT. This is applied to several IoT applications which include wireless sensor networks (WSN), meter reading transmission in smart grid, vehicular ad hoc networks (VANET), industrial IoT and connected networks. The book serves as a reference for researchers, academics, and network engineers who want to develop enhanced security and privacy features in the design of IoT systems.
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| Other form: | Print version: MAKKAR, AAISHA. KUMAR, NEERAJ. DEEP LEARNING FOR SECURITY AND PRIVACY PRESERVATION IN IOT. [Place of publication not identified] : SPRINGER VERLAG, SINGAPOR, 2022 9811661855
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| Standard no.: | 10.1007/978-981-16-6186-0
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