Internet of Things (IoT)

1. Front Matter

   Pages i-xvii

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2. Internet of Things (IoT) Architecture

   1. Front Matter

      Pages 1-1

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   2. Foundation of IoT: An Overview

      • Zaheeruddin, Hina Gupta

      Pages 3-24

   3. Cloud Computing for IoT

      • Himani Tyagi, Rajendra Kumar

      Pages 25-41

   4. Open Service Platforms for IoT

      • Preeti Agarwal, Mansaf Alam

      Pages 43-59

3. Solutions and Enablers for IoT

   1. Front Matter

      Pages 61-61

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   2. Resource Management Techniques for Cloud-Based IoT Environment

      • Syed Arshad Ali, Manzoor Ansari, Mansaf Alam

      Pages 63-87

   3. Data Management for the Internet of Things

      • Amrit Sahani, Ranjit Kumar, Suchismita Chinara, Anjali Kumari, Bina Patro

      Pages 89-103

   4. Machine Learning for IoT Systems

      • Ahmed Khattab, Nouran Youssry

      Pages 105-127

   5. Supervising Data Transmission Services Using Secure Cloud Based Validation and Admittance Control Mechanism

      • Kamta Nath Mishra

      Pages 129-149

4. IoT Challenges and Issues

   1. Front Matter

      Pages 151-151

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   2. Tackling Jamming Attacks in IoT

      • N. Ambika

      Pages 153-165

   3. Bioinspired Techniques for Data Security in IoT

      • S. R. Mani Sekhar, G. M. Siddesh, Anjaneya Tiwari, Ankit Anand

      Pages 167-187

   4. A Chaos-Based Multi-level Dynamic Framework for Image Encryption

      • Sakshi Dhall, Saibal K. Pal, Kapil Sharma

      Pages 189-217

   5. Privacy Challenges and Their Solutions in IoT

      • Nabeela Hasan, Akshay Chamoli, Mansaf Alam

      Pages 219-231

5. The IoT World of Applications

   1. Front Matter

      Pages 233-233

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   2. Mobile Computing and IoT: Radio Spectrum Requirement for Timely and Reliable Message Delivery Over Internet of Vehicles (IoVs)

      • Elias Eze, Paul Sant, Sijing Zhang, Xiaohua Feng, Mitul Shukla, Joy Eze et al.

      Pages 235-256

   3. Single Activity Recognition System: A Review

      • P. K. Nizar Banu, R. Kavitha

      Pages 257-271

   4. Deep Learning and IoT for Agricultural Applications

      • Disha Garg, Mansaf Alam

      Pages 273-284

   5. IoT for Crowd Sensing and Crowd Sourcing

      • Vinita Sharma

      Pages 285-300

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

• Internet of Things
• IoT
• Smart cities and infrastructure
• Software architecture for IoT
• IoT world of applications and concepts
• Smart applications

• Department of Computer Science, Jamia Millia Islamia, New Delhi, India

  Mansaf Alam, Samiya Khan

• College of Computer & Information Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

  Kashish Ara Shakil

Dr. Mansaf Alam received his doctoral degree in Computer Science from Jamia Millia Islamia, New Delhi in the year 2009. He is currently working as Associate Professor at the Department of Computer Science, Jamia Millia Islamia. Moreover, he is a recipient of the prestigious Visvesvaraya Young Scientist Research Fellow Award from DietY, Government of India and serves as the Editor-in-Chief of Journal of Applied Information Science. He is in the Editorial Board of some reputed International Journals in Computer Sciences and has published several research papers. He has two books entitled as “Concepts of Multimedia” and “Digital Logic design” to his credit. His areas of research include Cloud Computing, Big Data Analytics, Internet of Things and Deep Learning.

 

Dr. Kashish Ara Shakil has received her Ph.D. degree in Computer Science from Jamia Millia Islamia, New Delhi in the year 2017. She is currently working as Assistant Professor at College of Computer and Information Sciences, Princess Nora Bint AbdulRahman University, Saudi Arabia. She has done a Bachelor’s degree in Computer Science from Delhi University and has an MCA degree from Jamia Hamdard. She has written several research papers in the field of Cloud computing. Her areas of interest include database management using Cloud Computing, Big Data Analytics, IoT, distributed and service computing.

 

Ms. Samiya Khan is an alumna of Sri Venkateswara College, University of Delhi (Bachelors Degree) and Institute of Informatics and Communication, University of Delhi, South Campus (Masters Degree). She is currently pursuing doctoral studies at Department of Computer Science, Jamia Millia Islamia, New Delhi, and has many research articles and book chapters in publications of international repute. She is a regular contributor to magazines like CSI Communications and Scientific India Magazine and serves as reviewer for many reputed journals and conferences. Her research interests include Data Science, Big Data, IoT, Data-Intensive Computing and Machine Learning.

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