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Mapping Human Data and Behavior With the Internet of Behavior (IoB)

Gunjan Chhabra (Graphic Era Hill University, India), Tanu Singh (University of Petroleum and Energy Studies, Dehradun, India), and Manoj Kumar (University of Wollongong in Dubai, Dubai, UAE)
Indexed In: SCOPUS
Release Date: January, 2025 | Copyright: © 2025 | Pages: 644
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Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9798369375457
ISBN13 Softcover: 9798369375464
EISBN13: 9798369375471
DOI: 10.4018/979-8-3693-7545-7

Description:

The Internet of Behavior (IoB) is reshaping industries by providing deeper insights into human actions, preferences, and decision-making patterns. By analyzing data from wearables, online interactions, and smart devices, IoB enables organizations to deliver highly personalized services, improve public health strategies, and optimize urban environments. This convergence of technology and behavioral science holds the potential to drive innovation across sectors, enhancing user experiences and operational efficiency. At the same time, the rapid growth of IoB raises important questions about data privacy, security, and ethical responsibility, highlighting the need for careful governance. As IoB continues to evolve, its impact on society will be profound, influencing everything from business practices to policy development.

Mapping Human Data and Behavior With the Internet of Behavior (IoB) provides a comprehensive and practical resource to understanding, analyzing, and leveraging the IoB. It provides the knowledge and tools necessary to harness the transformative potential of IoB technologies while addressing the ethical and privacy considerations inherent in this field. Covering topics such as artificial intelligence (AI), neural networks, and performance evaluation, this book is an excellent resource for researchers, academicians, students, data scientists and analysts, IoT professionals, healthcare professionals, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence (AI)
  • Big Data Analytics
  • Consumer Behavior
  • Digital Health Technology
  • Food Safety and Quality
  • Human Behavior
  • Human Data
  • Internet of Behavior (IoB)
  • Machine Learning (ML)
  • Neural Networks
  • Performance Evaluation
  • Stock Trading
  • Supply Chain Management
  • Waste Reduction
  • Wearable Technologies

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Gunjan Chhabra is a PhD in computer science and engineering, working as an Associate professor in the Department of Computer Science and Engineering, Graphic Era Hill University, Dehradun. He has a teaching experience of 10 years, and an area of his expertise is Algorithms, Image processing, and Machine learning. He has published ten patents, with five Granted patents from IPR. Also, he has published several research papers in various renowned journals. Additionally, he has authored three textbooks on the domain Internet of Things, smart technologies, and machine learning. He has also edited two books with renowned publishers. He has also mentored many projects in different domains of computer science to solve real-world problems. Under his guidance, his students have successfully incubated their ideas.
Tanu Singh has a remarkable teaching career spanning more than 7 years that has been defined by quality and dedication. Dr. Tanu Singh, a well-liked professor at UPES, has earned respect. She completed her Full-time Ph.D. in Computer Science and Engineering from GGSIPU, New Delhi in 2022. She completed her Full-time M.Tech in CSE from PTU, Punjab in 2014. She completed her Full-time Graduation (B.Tech - IT) from PTU, Punjab in the year of 2011. With a solid foundation in Core Computer Science, software engineering, data analytics, and data warehouse, she has consistently demonstrated her ability to teach and research. Dr. Tanu Singh has a solid academic background with more than seven years of cumulative experience. She has been in UPES since 2022 and has given her all to the practice of teaching and research. She is eager to share her knowledge and motivate the next generation of learners since she places a great emphasis on continual growth and academic success. She has publications, patents, and copyrights to her name. She explores a wide range of subjects in her research articles, including data science, machine learning, IoT, and many more. With her patent and design registrations, she has showcased her ability to not only conceptualize innovative ideas but also transform them into tangible solutions.
Manoj Kumar completed his Ph.D. from Northcap University and M.Sc. (Information Security and Digital Forensics) from Technological University Dublin, Ireland in 2013. Dr. Kumar has more than 14.5+ years of research, teaching, and corporate experience. Currently, Dr. Kumar holds the position of Associate Professor at the University of Wollongong in Dubai. Dr. Kumar is listed among the top 2% of computer scientists worldwide. He published over 225 research articles in international refereed journals and conferences. He gave 12 patents, delivered four international research-funded projects, and released three authored and forteen edited books. In addition, he acts as an associate editor, guest editor, and editorial board member for various scientific journals. Dr. Kumar is a member of numerous renowned professional bodies, including IEEE, ACM, IAENG, ISTS, and UACEE. His specializations are Digital Forensics, Machine Learning, Information Security, Image Processing, IOT and Networks.

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