The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems
Author: Dinesh Peter,Amir H Alavi,Bahman Javadi,Steven L. Fernandes
Publsiher: Academic Press
Total Pages: 202
Release: 2020-03-14
ISBN 10: 0128166096
ISBN 13: 9780128166093
Language: EN, FR, DE, ES & NL

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems Book Review:

The Cognitive Approach in Cloud Computing and Internet of Things Technologies for Surveillance Tracking Systems discusses the recent, rapid development of Internet of things (IoT) and its focus on research in smart cities, especially on surveillance tracking systems in which computing devices are widely distributed and huge amounts of dynamic real-time data are collected and processed. Efficient surveillance tracking systems in the Big Data era require the capability of quickly abstracting useful information from the increasing amounts of data. Real-time information fusion is imperative and part of the challenge to mission critical surveillance tasks for various applications. This book presents all of these concepts, with a goal of creating automated IT systems that are capable of resolving problems without demanding human aid. Examines the current state of surveillance tracking systems, cognitive cloud architecture for resolving critical issues in surveillance tracking systems, and research opportunities in cognitive computing for surveillance tracking systems Discusses topics including cognitive computing architectures and approaches, cognitive computing and neural networks, complex analytics and machine learning, design of a symbiotic agent for recognizing real space in ubiquitous environments, and more Covers supervised regression and classification methods, clustering and dimensionality reduction methods, model development for machine learning applications, intelligent machines and deep learning networks includes coverage of cognitive computing models for scalable environments, privacy and security aspects of surveillance tracking systems, strategies and experiences in cloud architecture and service platform design

Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing

Challenges and Opportunities for the Convergence of IoT  Big Data  and Cloud Computing
Author: Velayutham, Sathiyamoorthi
Publsiher: IGI Global
Total Pages: 381
Release: 2021-01-29
ISBN 10: 1799831132
ISBN 13: 9781799831136
Language: EN, FR, DE, ES & NL

Challenges and Opportunities for the Convergence of IoT Big Data and Cloud Computing Book Review:

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.

Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis

Computational Intelligence Methods in COVID 19  Surveillance  Prevention  Prediction and Diagnosis
Author: Khalid Raza
Publsiher: Springer Nature
Total Pages: 437
Release: 2020
ISBN 10: 9811585342
ISBN 13: 9789811585340
Language: EN, FR, DE, ES & NL

Computational Intelligence Methods in COVID 19 Surveillance Prevention Prediction and Diagnosis Book Review:

The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences

Artificial Intelligence and IoT

Artificial Intelligence and IoT
Author: Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian
Publsiher: Springer Nature
Total Pages: 274
Release: 2021
ISBN 10: 9813364009
ISBN 13: 9789813364004
Language: EN, FR, DE, ES & NL

Artificial Intelligence and IoT Book Review:

This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few examples of issues, the authors intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community. In editing this book, the authors attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter. The only way to remain pace with this data generated by the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT. IoT together with AI is more than an inclination or existence; it will develop into a paradigm. It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life. This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.

Metaheuristics in Machine Learning

Metaheuristics in Machine Learning
Author: Diego Oliva
Publsiher: Springer Nature
Total Pages: 765
Release: 2021
ISBN 10: 3030705420
ISBN 13: 9783030705428
Language: EN, FR, DE, ES & NL

Metaheuristics in Machine Learning Book Review:

This book is a collection of the most recent approaches that combine metaheuristics and machine learning. Some of the methods considered in this book are evolutionary, swarm, machine learning, and deep learning. The chapters were classified based on the content; then, the sections are thematic. Different applications and implementations are included; in this sense, the book provides theory and practical content with novel machine learning and metaheuristic algorithms. The chapters were compiled using a scientific perspective. Accordingly, the book is primarily intended for undergraduate and postgraduate students of Science, Engineering, and Computational Mathematics and is useful in courses on Artificial Intelligence, Advanced Machine Learning, among others. Likewise, the book is useful for research from the evolutionary computation, artificial intelligence, and image processing communities.

Machine Learning Deep Learning and Computational Intelligence for Wireless Communication

Machine Learning  Deep Learning and Computational Intelligence for Wireless Communication
Author: E. S. Gopi
Publsiher: Springer Nature
Total Pages: 643
Release: 2021
ISBN 10: 9811602891
ISBN 13: 9789811602894
Language: EN, FR, DE, ES & NL

Machine Learning Deep Learning and Computational Intelligence for Wireless Communication Book Review:

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

Big Data Analytics for Cloud IoT and Cognitive Computing

Big Data Analytics for Cloud  IoT and Cognitive Computing
Author: Kai Hwang,Min Chen
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2017-08-14
ISBN 10: 1119247020
ISBN 13: 9781119247029
Language: EN, FR, DE, ES & NL

Big Data Analytics for Cloud IoT and Cognitive Computing Book Review:

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Driving the Development Management and Sustainability of Cognitive Cities

Driving the Development  Management  and Sustainability of Cognitive Cities
Author: Ahuja, Kiran,Khosla, Arun
Publsiher: IGI Global
Total Pages: 337
Release: 2019-05-03
ISBN 10: 1522580867
ISBN 13: 9781522580867
Language: EN, FR, DE, ES & NL

Driving the Development Management and Sustainability of Cognitive Cities Book Review:

The technological advancements of today not only affect individual’s personal lives. They also affect the way urban communities regard the improvement of their resident’s lives. Research involving these autonomic reactions to the growing needs of the people is desperately needed to transform the cities of today into the cities of the future. Driving the Development, Management, and Sustainability of Cognitive Cities is a pivotal reference source that explores and improves the understanding of the strategic role of sustainable cognitive cities in residents’ routine life styles. Such benefits to residents and businesses include having access to world-class training while sitting at home, having their wellbeing observed consistently, and having their medical issues identified before occurrence. This book is ideally designed for administrators, policymakers, industrialists, and researchers seeking current research on developing and managing cognitive cities.

Big Data Analytics for Cloud IoT and Cognitive Computing

Big Data Analytics for Cloud  IoT and Cognitive Computing
Author: Kai Hwang,Min Chen
Publsiher: John Wiley & Sons
Total Pages: 432
Release: 2017-03-17
ISBN 10: 1119247292
ISBN 13: 9781119247296
Language: EN, FR, DE, ES & NL

Big Data Analytics for Cloud IoT and Cognitive Computing Book Review:

The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the authors draw upon their original research and proven track record in the field to describe a practical approach integrating big-data theories, cloud design principles, Internet of Things (IoT) sensing, machine learning, data analytics and Hadoop and Spark programming. Part 1 focuses on data science, the roles of clouds and IoT devices and frameworks for big-data computing. Big data analytics and cognitive machine learning, as well as cloud architecture, IoT and cognitive systems are explored, and mobile cloud-IoT-interaction frameworks are illustrated with concrete system design examples. Part 2 is devoted to the principles of and algorithms for machine learning, data analytics and deep learning in big data applications. Part 3 concentrates on cloud programming software libraries from MapReduce to Hadoop, Spark and TensorFlow and describes business, educational, healthcare and social media applications for those tools. The first book describing a practical approach to integrating social, mobile, analytics, cloud and IoT (SMACT) principles and technologies Covers theory and computing techniques and technologies, making it suitable for use in both computer science and electrical engineering programs Offers an extremely well-informed vision of future intelligent and cognitive computing environments integrating SMACT technologies Fully illustrated throughout with examples, figures and approximately 150 problems to support and reinforce learning Features a companion website with an instructor manual and PowerPoint slides www.wiley.com/go/hwangIOT Big-Data Analytics for Cloud, IoT and Cognitive Computing satisfies the demand among university faculty and students for cutting-edge information on emerging intelligent and cognitive computing systems and technologies. Professionals working in data science, cloud computing and IoT applications will also find this book to be an extremely useful working resource.

Cognitive Computing for Big Data Systems Over IoT

Cognitive Computing for Big Data Systems Over IoT
Author: Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram
Publsiher: Springer
Total Pages: 375
Release: 2017-12-30
ISBN 10: 3319706888
ISBN 13: 9783319706887
Language: EN, FR, DE, ES & NL

Cognitive Computing for Big Data Systems Over IoT Book Review:

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Cognitive Hyperconnected Digital Transformation

Cognitive Hyperconnected Digital Transformation
Author: Ovidiu Vermesan,Joël Bacquet
Publsiher: River Publishers
Total Pages: 338
Release: 2017-06-23
ISBN 10: 8793609116
ISBN 13: 9788793609112
Language: EN, FR, DE, ES & NL

Cognitive Hyperconnected Digital Transformation Book Review:

Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex info

Security and Trust Issues in Internet of Things

Security and Trust Issues in Internet of Things
Author: Sudhir Kumar Sharma,Bharat Bhushan,Bhuvan Unhelkar
Publsiher: CRC Press
Total Pages: 330
Release: 2020-12-03
ISBN 10: 1000288420
ISBN 13: 9781000288421
Language: EN, FR, DE, ES & NL

Security and Trust Issues in Internet of Things Book Review:

The purpose of this edited book is to present and showcase the basic fundamentals, applications, and integration of both IoT and Blockchain. The trend of applying Blockchain to IoT is rapidly growing because it helps to overcome various challenges faced by IoT, from smart manufacturing to unmanned aerial vehicles. Thise book aims to showcase the basics of both IoT and Blockchain as well as the integration and challenges for existing practitioners. Thise book initiates conversations among technologists, engineers, scientists, and clinicians to synergize their efforts in producing low-cost, high-performance, highly efficient, deployable IoT systems. Thise book is theory-based and is useful for engineers from various disciplines, including industrial engineering, computer science, electronics, telecommunications, electrical, agricultural, and cybersecurity, along with researchers, professionals, and students.

ICT Systems and Sustainability

ICT Systems and Sustainability
Author: Milan Tuba
Publsiher: Springer Nature
Total Pages: 135
Release: 2021
ISBN 10: 9811582890
ISBN 13: 9789811582899
Language: EN, FR, DE, ES & NL

ICT Systems and Sustainability Book Review:

Cloud Computing for Machine Learning and Cognitive Applications

Cloud Computing for Machine Learning and Cognitive Applications
Author: Kai Hwang
Publsiher: MIT Press
Total Pages: 624
Release: 2017-07-07
ISBN 10: 0262341123
ISBN 13: 9780262341127
Language: EN, FR, DE, ES & NL

Cloud Computing for Machine Learning and Cognitive Applications Book Review:

The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.

Big Data Management and the Internet of Things for Improved Health Systems

Big Data Management and the Internet of Things for Improved Health Systems
Author: Mishra, Brojo Kishore,Kumar, Raghvendra
Publsiher: IGI Global
Total Pages: 312
Release: 2018-01-19
ISBN 10: 1522552235
ISBN 13: 9781522552239
Language: EN, FR, DE, ES & NL

Big Data Management and the Internet of Things for Improved Health Systems Book Review:

Because of the increased access to high-speed Internet and smart phones, many patients have started to use mobile applications to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (IoT). Big Data Management and the Internet of Things for Improved Health Systems is a critical scholarly resource that examines the digital transformation of healthcare. Featuring coverage on a broad range of topics, such as brain computer interface, data reduction techniques, and risk factors, this book is geared towards academicians, practitioners, researchers, and students seeking research on health and well-being data.

Internet of Things for Things and by Things

Internet of Things  for Things  and by Things
Author: Abhik Chaudhuri
Publsiher: CRC Press
Total Pages: 257
Release: 2018-08-28
ISBN 10: 1351779680
ISBN 13: 9781351779685
Language: EN, FR, DE, ES & NL

Internet of Things for Things and by Things Book Review:

This book explains IoT technology, its potential applications, the security and privacy aspects, the key necessities like governance, risk management, regulatory compliance needs, the philosophical aspects of this technology that are necessary to support an ethical, safe and secure digitally enhanced environment in which people can live smarter. It describes the inherent technology of IoT, the architectural components and the philosophy behind this emerging technology. Then it shows the various potential applications of the Internet of Things that can bring benefits to the human society. Finally, it discusses various necessities to provide a secured and trustworthy IoT service.

The Internet of Things

The Internet of Things
Author: Pethuru Raj,Anupama C. Raman
Publsiher: CRC Press
Total Pages: 364
Release: 2017-02-24
ISBN 10: 1498761291
ISBN 13: 9781498761291
Language: EN, FR, DE, ES & NL

The Internet of Things Book Review:

As more and more devices become interconnected through the Internet of Things (IoT), there is an even greater need for this book,which explains the technology, the internetworking, and applications that are making IoT an everyday reality. The book begins with a discussion of IoT "ecosystems" and the technology that enables them, which includes: Wireless Infrastructure and Service Discovery Protocols Integration Technologies and Tools Application and Analytics Enablement Platforms A chapter on next-generation cloud infrastructure explains hosting IoT platforms and applications. A chapter on data analytics throws light on IoT data collection, storage, translation, real-time processing, mining, and analysis, all of which can yield actionable insights from the data collected by IoT applications. There is also a chapter on edge/fog computing. The second half of the book presents various IoT ecosystem use cases. One chapter discusses smart airports and highlights the role of IoT integration. It explains how mobile devices, mobile technology, wearables, RFID sensors, and beacons work together as the core technologies of a smart airport. Integrating these components into the airport ecosystem is examined in detail, and use cases and real-life examples illustrate this IoT ecosystem in operation. Another in-depth look is on envisioning smart healthcare systems in a connected world. This chapter focuses on the requirements, promising applications, and roles of cloud computing and data analytics. The book also examines smart homes, smart cities, and smart governments. The book concludes with a chapter on IoT security and privacy. This chapter examines the emerging security and privacy requirements of IoT environments. The security issues and an assortment of surmounting techniques and best practices are also discussed in this chapter.

Internet of Things IoT

Internet of Things  IoT
Author: Mansaf Alam,Kashish Ara Shakil,Samiya Khan
Publsiher: Springer Nature
Total Pages: 532
Release: 2020-05-25
ISBN 10: 3030374688
ISBN 13: 9783030374686
Language: EN, FR, DE, ES & NL

Internet of Things IoT Book Review:

This books objective is to explore the concepts and applications related to Internet of Things with the vision to identify and address existing challenges. Additionally, the book provides future research directions in this domain, and explores the different applications of IoT and its associated technologies. Studies investigate applications for crowd sensing and sourcing, as well as smart applications to healthcare solutions, agriculture and intelligent disaster management. This book will appeal to students, practitioners, industry professionals and researchers working in the field of IoT and its integration with other technologies to develop comprehensive solutions to real-life problems

Handbook of Research on the Internet of Things Applications in Robotics and Automation

Handbook of Research on the Internet of Things Applications in Robotics and Automation
Author: Singh, Rajesh,Gehlot, Anita,Jain, Vishal,Malik, Praveen Kumar
Publsiher: IGI Global
Total Pages: 433
Release: 2019-09-13
ISBN 10: 1522595767
ISBN 13: 9781522595762
Language: EN, FR, DE, ES & NL

Handbook of Research on the Internet of Things Applications in Robotics and Automation Book Review:

With near-universal internet access and ever-advancing electronic devices, the ability to facilitate interactions between various hardware and software provides endless possibilities. Though internet of things (IoT) technology is becoming more popular among individual users and companies, more potential applications of this technology are being sought every day. There is a need for studies and reviews that discuss the methodologies, concepts, and possible problems of a technology that requires little or no human interaction between systems. The Handbook of Research on the Internet of Things Applications in Robotics and Automation is a pivotal reference source on the methods and uses of advancing IoT technology. While highlighting topics including traffic information systems, home security, and automatic parking, this book is ideally designed for network analysts, telecommunication system designers, engineers, academicians, technology specialists, practitioners, researchers, students, and software developers seeking current research on the trends and functions of this life-changing technology.

Orchestrating and Automating Security for the Internet of Things

Orchestrating and Automating Security for the Internet of Things
Author: Anthony Sabella,Rik Irons-Mclean,Marcelo Yannuzzi
Publsiher: Cisco Press
Total Pages: 1008
Release: 2018-06-04
ISBN 10: 0134756916
ISBN 13: 9780134756912
Language: EN, FR, DE, ES & NL

Orchestrating and Automating Security for the Internet of Things Book Review:

Master powerful techniques and approaches for securing IoT systems of all kinds–current and emerging Internet of Things (IoT) technology adoption is accelerating, but IoT presents complex new security challenges. Fortunately, IoT standards and standardized architectures are emerging to help technical professionals systematically harden their IoT environments. In Orchestrating and Automating Security for the Internet of Things, three Cisco experts show how to safeguard current and future IoT systems by delivering security through new NFV and SDN architectures and related IoT security standards. The authors first review the current state of IoT networks and architectures, identifying key security risks associated with nonstandardized early deployments and showing how early adopters have attempted to respond. Next, they introduce more mature architectures built around NFV and SDN. You’ll discover why these lend themselves well to IoT and IoT security, and master advanced approaches for protecting them. Finally, the authors preview future approaches to improving IoT security and present real-world use case examples. This is an indispensable resource for all technical and security professionals, business security and risk managers, and consultants who are responsible for systems that incorporate or utilize IoT devices, or expect to be responsible for them. · Understand the challenges involved in securing current IoT networks and architectures · Master IoT security fundamentals, standards, and modern best practices · Systematically plan for IoT security · Leverage Software-Defined Networking (SDN) and Network Function Virtualization (NFV) to harden IoT networks · Deploy the advanced IoT platform, and use MANO to manage and orchestrate virtualized network functions · Implement platform security services including identity, authentication, authorization, and accounting · Detect threats and protect data in IoT environments · Secure IoT in the context of remote access and VPNs · Safeguard the IoT platform itself · Explore use cases ranging from smart cities and advanced energy systems to the connected car · Preview evolving concepts that will shape the future of IoT security