Internet of Things (IoT)

lt;b>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.

Part 1: Internet of Things (IoT) Architecture.- Internet of Things (IoT): Concept and Applications.- Chapter 1.Foundation of IoT: An Overview.- Chapter 2.Cloud Computing for IoT.- Chapter 3.Open Service Platforms for IoT.- Part 2: Solutions and Enablers for IoT.- Chapter 4. Resource Management Techniques for Cloud-Based IoT Environment.- Chapter 5. Data Management for the Internet Of Things.- Chapter 6. Machine Learning for IoT Systems.- Chapter 7.Supervising Data Transmission Services Using Secure Cloud Based Validation and Admittance Control Mechanism.- Part 3: IoT Challenges and Issues.- Chapter 8.Tackling Jamming attacks in IoT.- Chapter 9. Bio-inspired Techniques for Data Security in IoT.- Chapter 10. A Chaos-based Multi-level Dynamic Framework for Image Encryption.- Chapter 11. Privacy Challenges and Solutions.- Part 4: The IoT World of Applications.- Chapter 12.Mobile Computing and IoT.- Chapter 13.Single Activity Recognition System: A Review.- Chapter 14. Deep Learning and IoT for Agricultural Applications.- Chapter 15.IoT for Crowd Sensing and Crowd Sourcing.- Chapter 16.Smart Infrastructures.- Part 5: IoT for Smart Cities.- Chapter 17. IoT application for smart cities data storage and processing based on triangulation method.- Chapter 18. Intelligent Environment Protection.- Chapter 19. Smart Agriculture.- Chapter 20.Intelligent Healthcare Solutions.- Chapter 21.Smart Car - Accident Detection and Notification using Amazon Alexa.- Chapter 22. Prioritization of Challenges towards development of Smart Manufacturing using BWM Method.- Part 6: Next Generation Smart Applications.- Chapter 23.Surveillance of Type -I & II Diabetic Subjects on Physical Characteristics: IoT and Big Data Perspective in Healthcare @NCR, India.- Chapter 24.Monitoring System Based in Wireless Sensor Network for Precision Agriculture.- Chapter 25.Securing E-Health IoT Data on Cloud Systems using Novel Extended Role Based Access Control Model.- Chapter 26.An Efficient Approach towards Enhancing the Performance of m-Health using Sensor Networks and Cloud Technologies.- Chapter 27. Future Internet of Things (IOT) from cloud perspective: Aspects, Applications and Challenges.