Название: AI Models for Blockchain-Based Intelligent Networks in IoT Systems: Concepts, Methodologies, Tools, and ApplicationsАвтор: Bharat Bhushan, Arun Kumar Sangaiah, Tu N. Nguyen
Издательство: Springer
Год: 2023
Страниц: 396
Язык: английский
Формат: pdf (true), epub
Размер: 28.4 MB
The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.
The Internet of Things (IoT) is an emerging technology that integrates technologies and aspects coming from varied approaches. In addition to connecting devices, IoT also connects people and other entities thereby making every IoT component vulnerable to a huge range of attacks. Therefore, enabling the IoT devices and WSNs to learn and adapt to various threats dynamically and addressing them proactively need immediate attention. Rapidly growing IoT will soon permeate to each and every aspect of our lives and therefore addressing IoT security threats is of utmost importance. Owing to the massiveness of IoT and inadequate data security, the impact of security breaches may turn out to be humongous leading to severe impacts. In order to analyse the voluminous data, Artificial Intelligence (AI) can serve as a strong analytic tool to deliver accurate and scalable real-time data analysis. However, development of AI-based big data analysis tool have some challenges, such as resource-constrained nature, privacy, security, lack of training data and centralized architecture. To this end, blockchain technology can overcome the existing AI challenges and provide secure sharing of resources and data to various IoT nodes. Blockchain can power decentralized coordination platforms and marketplaces for various AI components. This leads to the adoption of AI to an unprecedented level. The goal of this book is to foster transformative, multidisciplinary and novel Artificial Intelligence (AI)-based approaches that ensures security by taking into consideration the unique security challenges present in the environment. The book also discusses the challenges that need to be addressed in order to implement various security solutions in practical WSNs and IoT systems. The goal of this book is to foster transformative, multidisciplinary and novel Artificial Intelligence (AI)-based approaches that ensures security by taking into consideration the unique security challenges present in the environment.
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