Secure And Privacy Preserving Data Communication In Internet Of Things
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Secure and Privacy-Preserving Data Communication in Internet of Things
This book mainly concentrates on protecting data security and privacy when participants communicate with each other in the Internet of Things (IoT). Technically, this book categorizes and introduces a collection of secure and privacy-preserving data communication schemes/protocols in three traditional scenarios of IoT: wireless sensor networks, smart grid and vehicular ad-hoc networks recently. This book presents three advantages which will appeal to readers. Firstly, it broadens reader’s horizon in IoT by touching on three interesting and complementary topics: data aggregation, privacy protection, and key agreement and management. Secondly, various cryptographic schemes/protocols used to protect data confidentiality and integrity is presented. Finally, this book will illustrate how to design practical systems to implement the algorithms in the context of IoT communication. In summary, readers can simply learn and directly apply the new technologies to communicate data in IoT after reading this book.
Federated Learning Systems
Author: Muhammad Habib ur Rehman
language: en
Publisher: Springer Nature
Release Date: 2021-06-11
This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.
Secure Communication in Internet of Things
The book Secure Communication in Internet of Things: Emerging Technologies, Challenges, and Mitigation will be of value to the readers in understanding the key theories, standards, various protocols, and techniques for the security of Internet of Things hardware, software, and data, and explains how to design a secure Internet of Things system. It presents the regulations, global standards, and standardization activities with an emphasis on ethics, legal, and social considerations about Internet of Things security. Features: ● Explores the new Internet of Things security challenges, threats, and future regulations to end-users. ● Presents authentication, authorization, and anonymization techniques in the Internet of Things. ● Illustrates security management through emerging technologies such as blockchain and artificial intelligence. ● Highlights the theoretical and architectural aspects, foundations of security, and privacy of the Internet of Things framework. ● Discusses artificial-intelligence-based security techniques, and cloud security for the Internet of Things. It will be a valuable resource for senior undergraduates, graduate students, and academic researchers in fields such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.