Internet of Things and Big Data Technologies for N…

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Author : P. Mary Jeyanthi
Genre : Computers

Summary : This book offers a comprehensive exploration of distributed ledger technology (DLT) in communication. The book first delves into the foundational principles of blockchain technology, unravelling its intricacies and explaining its relevance in the communication landscape. The book goes on to examine the evolution of DLT and addresses its practical implications, enabling readers to grasp the profound impact it has on communication infrastructure. Key topics covered include the integration of blockchain into communication networks, leveraging its decentralized nature to enhance security and privacy. The book explores the deployment of smart contracts to automate processes, while spotlighting critical issues such as privacy preservation and data protection in the blockchain era. The book presents a definitive guide that bridges the gap between theoretical understanding and real-world application, catering to professionals, researchers, and enthusiasts seeking to harness the transformative potential of blockchain technology within the realm of communication. Offers a comprehensive exploration of distributed ledger technology (DLT) in communication; Unveils blockchain's impact on communication, merging theory with hands-on implementation; Demonstrates the integration of blockchain into communication networks and the deployment of smart contracts.

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Author : Shitharth Selvarajan
Genre : Computers

Summary : Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of Things (IoT) applications. As the IoT landscape continues to expand rapidly, the need for robust security measures becomes paramount to safeguard sensitive data and ensure the integrity of connected devices. This book delves into the synergistic potential of leveraging big data analytics and blockchain’s decentralized ledger system to fortify IoT ecosystems against various cyber threats, ranging from data breaches to unauthorized access. Within this groundbreaking text, readers will uncover the foundational principles underpinning big data analytics and blockchain technology, along with their respective roles in enhancing IoT security. Through insightful case studies and practical examples, this book illustrates how organizations across diverse industries can harness the power of these technologies to mitigate risks and bolster trust in IoT deployments. From real‐time monitoring and anomaly detection to immutable data storage and tamper‐proof transactions, the integration of big data and blockchain offers a robust framework for establishing secure, transparent, and scalable IoT infrastructures. Furthermore, this book serves as a valuable resource for researchers, practitioners, and policymakers seeking to navigate the complexities of IoT security. By bridging the gap between theory and application, this book equips readers with the knowledge and tools necessary to navigate the evolving landscape of interconnected devices while safeguarding against emerging cyber threats. With contributions from leading experts in the field, it offers a forward‐thinking perspective on harnessing the transformative potential of big data and blockchain to realize the full promise of the IoT securely.

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Author : Shahram Latifi
Genre : Computers

Summary : This volume represents the 18th International Conference on Information Technology - New Generations (ITNG), 2021. ITNG is an annual event focusing on state of the art technologies pertaining to digital information and communications. The applications of advanced information technology to such domains as astronomy, biology, education, geosciences, security, and health care are the among topics of relevance to ITNG. Visionary ideas, theoretical and experimental results, as well as prototypes, designs, and tools that help the information readily flow to the user are of special interest. Machine Learning, Robotics, High Performance Computing, and Innovative Methods of Computing are examples of related topics. The conference features keynote speakers, a best student award, poster award, service award, a technical open panel, and workshops/exhibits from industry, government and academia. This publication is unique as it captures modern trends in IT with a balance of theoretical and experimental work. Most other work focus either on theoretical or experimental, but not both. Accordingly, we do not know of any competitive literature.

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Author : Teresa Pereira
Genre : Computers

Summary : This book constitutes the refereed post-conference proceedings of the Third International Conference on Internet of Everything, IoECon 2024, which took place in Guimarães, Portugal, in September 26–27, 2024. The 10 full papers were carefully reviewed and selected from 28 submissions.The papers cover the following topics: Machine-to-Machine (M2M); People-to-Machine (P2M) or Machine-to-People (M2P).

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Author : Aryan Chaudhary
Genre : Computers

Summary : The book provides a comprehensive understanding of how blockchain technology can revolutionize healthcare by improving patient outcomes, enhancing data privacy, and driving innovative solutions to industry challenges. Blockchain in Health Sciences is an essential roadmap for navigating the complex landscape of blockchain technology in healthcare. From foundational concepts to real-world applications, this book empowers understanding to harness the potential of blockchain to improve patient outcomes, enhance data privacy, and optimize healthcare delivery. Delve into the integration of blockchain with the Internet of Things and AI to uncover groundbreaking solutions for challenges faced by the healthcare industry. Gain insights into the regulatory and ethical implications of blockchain in healthcare, ensuring responsible and effective implementation. Each chapter unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement, used to unlock opportunities to advance health sciences research. This book is an essential guide for readers exploring opportunities to empower and enable data in health science research. Readers will find the volume: Introduces the fundamentals of blockchain and its integration with IoT in healthcare; Provides practical applications across patient records, drug supply chains, and genomics research; Explores the synergy of AI, IoT, and blockchain for unprecedented healthcare advancements. Audience Healthcare professionals, researchers, policymakers, IT experts, and anyone interested in the future of healthcare.

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Author : Rohit Sharma
Genre : Technology & Engineering

Summary : This book focuses on the use of The Internet of Things (IoT) and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. IoT and big data emerged from the early 2000s data boom, driven forward by many of the early internet and technology companies. The Internet of Things (IoT) is an interconnection of several devices, networks, technologies, and human resources to achieve a common goal. There are a variety of IoT-based applications being used in different sectors and have succeeded in providing huge benefits to the users. The generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends to adopt the data analytics to strengthen solutions. The success of IoT depends upon the influential association of big data analytics. New technologies like search engines, mobile devices, and industrial machines provided as much data as companies could handle—and the scale continues to grow. In a study conducted by IDC, the market intelligence firm estimated that the global production of data would grow 10x between 2015 and 2020. So, the proposed book covers up all the aspects in the field discuss above.

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Author : Pethuru Raj
Genre : Computers

Summary : This book comprehensively conveys the theoretical and practical aspects of IoT and big data analytics with the solid contributions from practitioners as well as academicians. This book examines and expounds the unique capabilities of the big data analytics platforms in capturing, cleansing and crunching IoT device/sensor data in order to extricate actionable insights. A number of experimental case studies and real-world scenarios are incorporated in this book in order to instigate our book readers. This book Analyzes current research and development in the domains of IoT and big data analytics Gives an overview of latest trends and transitions happening in the IoT data analytics space Illustrates the various platforms, processes, patterns, and practices for simplifying and streamlining IoT data analytics The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines and accentuates how the multiple challenges at the cusp of IoT and big data can be fully met. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to come. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration of IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. This book examines the pioneering technologies and tools emerging and evolving in order to collect, pre-process, store, process and analyze data heaps in order to disentangle actionable insights.

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Author : Nilanjan Dey
Genre : Technology & Engineering

Summary : This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also energy-efficient approaches to improving virtual machine placement in cloud computing environments. Big data and the Internet of Things (IoT) are ultimately two sides of the same coin, yet extracting, analyzing and managing IoT data poses a serious challenge. Accordingly, proper analytics infrastructures/platforms should be used to analyze IoT data. Information technology (IT) allows people to upload, retrieve, store and collect information, which ultimately forms big data. The use of big data analytics has grown tremendously in just the past few years. At the same time, the IoT has entered the public consciousness, sparking people’s imaginations as to what a fully connected world can offer. Further, the book discusses the analysis of real-time big data to derive actionable intelligence in enterprise applications in several domains, such as in industry and agriculture. It explores possible automated solutions in daily life, including structures for smart cities and automated home systems based on IoT technology, as well as health care systems that manage large amounts of data (big data) to improve clinical decisions. The book addresses the security and privacy of the IoT and big data technologies, while also revealing the impact of IoT technologies on several scenarios in smart cities design. Intended as a comprehensive introduction, it offers in-depth analysis and provides scientists, engineers and professionals the latest techniques, frameworks and strategies used in IoT and big data technologies.

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Author : Haya Shajaiah
Genre : Technology & Engineering

Summary : A hands-on guide and mathematical approach to tackling security challenges and overall performance issues in 5G-based IoT communications The Internet of Things (IoT) provides connectivity and data exchange anytime and anywhere among a wide variety of physical objects such as sensors, vehicles, and mobile phones. This book is a concise guide to securing wireless Internet of Things (IoT) systems at the communications level, covering wireless spectrum sharing systems, smart grid communications, machine-to-machine communications, and uplink/downlink communications for IoT applications. The methods, optimization problems, mathematical solutions, algorithms, and programming codes in the book can be applied directly or extended as countermeasures for different IoT vulnerabilities. Coverage includes: •Detailed solutions for tackling communications security threats •Secure spectrum auction design •Spectrum trading architecture •Distributed optimization algorithm •Latency-centric IoT uplink framework •MATLAB code for IoT spectrum sharing and IoT smart grid •Joint carrier aggregation for IoT spectrum sharing systems •Anomaly detection and classification

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Author : Tausifa Jan Saleem
Genre : Mathematics

Summary : BIG DATA ANALYTICS FOR INTERNET OF THINGS Discover the latest developments in IoT Big Data with a new resource from established and emerging leaders in the field Big Data Analytics for Internet of Things delivers a comprehensive overview of all aspects of big data analytics in Internet of Things (IoT) systems. The book includes discussions of the enabling technologies of IoT data analytics, types of IoT data analytics, challenges in IoT data analytics, demand for IoT data analytics, computing platforms, analytical tools, privacy, and security. The distinguished editors have included resources that address key techniques in the analysis of IoT data. The book demonstrates how to select the appropriate techniques to unearth valuable insights from IoT data and offers novel designs for IoT systems. With an abiding focus on practical strategies with concrete applications for data analysts and IoT professionals, Big Data Analytics for Internet of Things also offers readers: A thorough introduction to the Internet of Things, including IoT architectures, enabling technologies, and applications An exploration of the intersection between the Internet of Things and Big Data, including IoT as a source of Big Data, the unique characteristics of IoT data, etc. A discussion of the IoT data analytics, including the data analytical requirements of IoT data and the types of IoT analytics, including predictive, descriptive, and prescriptive analytics A treatment of machine learning techniques for IoT data analytics Perfect for professionals, industry practitioners, and researchers engaged in big data analytics related to IoT systems, Big Data Analytics for Internet of Things will also earn a place in the libraries of IoT designers and manufacturers interested in facilitating the efficient implementation of data analytics strategies.