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Internet of Things, Smart Computing and Technology: A Roadmap Ahead

  • Nilanjan Dey
  • Parikshit. N. Mahalle
  • Pathan Mohd Shafi
  • Vinod V. Kimabahune
  • Aboul Ella Hassanien
Book
  • 288 Downloads

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 266)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Machine Learning

    1. Front Matter
      Pages 1-1
    2. Ravindra Patil, Kiran Chaudhari, S. N. Kakarwal, R. R. Deshmukh, D. V. Kurmude
      Pages 31-55
    3. Pathan Mohd Shafi, Gauri S. Jawalkar, Manasi A. Kadam, Rachana R. Ambawale, Supriya V. Bankar
      Pages 57-80
  3. Big Data

    1. Front Matter
      Pages 95-95
    2. Naveenkumar Jayakumar, Dhanashri P. Joshi
      Pages 119-150
    3. Satya Narayan Sahu, Jagannath Panda, Rojalin Sahu, Tejaswini Sahoo, Shanta Chakrabarty, Subrat Kumar Pattanayak
      Pages 151-169
  4. Internet of Things

    1. Front Matter
      Pages 171-171
    2. F. Khanboubi, A. Boulmakoul
      Pages 189-215
    3. M. Deshmukh, S. N. Kakarwal, R. Deshmukh, D. V. Kurmude
      Pages 241-262
  5. Internet of Things Security

    1. Front Matter
      Pages 281-281
    2. Smita Sanjay Ambarkar, Narendra Shekokar
      Pages 283-303
    3. Aruna Gawade, Narendra Shekokar
      Pages 305-321
    4. Pooja A. Shelar, Parikshit N. Mahalle, Gitangali Shinde
      Pages 323-360
    5. Parikshit N. Mahalle, Gitanjali Shinde, Pathan Mohd Shafi
      Pages 361-374
    6. Neel Patel, Pratik Panchal, Yash Shah, Pankaj Sonawane, Ramchandra Mangrulkar
      Pages 375-403

About this book

Introduction

This book addresses a broad range of topics concerning machine learning, big data, the Internet of things (IoT), and security in the IoT. Its goal is to bring together several innovative studies on these areas, in order to help researchers, engineers, and designers in several interdisciplinary domains pursue related applications. It presents an overview of the various algorithms used, focusing on the advantages and disadvantages of each in the fields of machine learning and big data. It also covers next-generation computing paradigms that are expected to support wireless networking with high data transfer rates and autonomous decision-making capabilities. 

In turn, the book discusses IoT applications (e.g. healthcare applications) that generate a huge amount of sensor data and imaging data that must be handled correctly for further processing. In the traditional IoT ecosystem, cloud computing offers a solution for the efficient management of huge amounts of data, thanks to its ability to access shared resources and provide a common infrastructure in a ubiquitous manner. Though these new technologies are invaluable, they also reveal serious IoT security challenges. IoT applications are vulnerable to various types of attack such as eavesdropping, spoofing and false data injection, the man-in-the-middle attack, replay attack, denial-of-service attack, jamming attack, flooding attack, etc. These and other security issues in the Internet of things are explored in detail. 

In addition to highlighting outstanding research and recent advances from around the globe, the book reports on current challenges and future directions in the IoT. Accordingly, it offers engineers, professionals, researchers, and designers an applied-oriented resource to support them in a broad range of interdisciplinary areas. 

Keywords

Internet of Things Smart Computing Smart Technology Big Data Machine Learning

Editors and affiliations

  1. 1.Techno India College of TechnologyKolkataIndia
  2. 2.Smt Kashibai Navale College of EngineeringPuneIndia
  3. 3.Smt Kashibai Navale College of EngineeringPuneIndia
  4. 4.Smt Kashibai Navale College of EngineeringPuneIndia
  5. 5.Department of Information Technology (IT)Cairo UniversityGizaEgypt

Bibliographic information