Internet of Behaviors (Iob)

This book is intended to survey the Internet of Behavior (IoB). The book begins with the benefits and potential pitfalls of IoB. Today, IoB has huge potential in every sector of the world. There are numerous applications for IoB which benefit users as well as the business market in order to enhance the user experience. In this book, the benefits of IoB and its negative constraints are discussed in detail. It is a high time that IoB is to take its crown and ruled the world. The work of IoB is critical in keeping our data secure because it can currently identify all humans who attempt to steal someone's data. Moreover, the business uses of IoB are in high demand. By leveraging promising technical improvements and advances in machine learning algorithms, IoB enables capture, analysis, comprehension, and response for all types of human behavior in a technique that enables the tracking and interpretation of the behavior. IoB can be very useful wherever the behavior, preferences, interests, and location of people need to be examined. On the other hand, an analytical study on consumers' social and behavioral psychology and their influence on online purchasing is much needed. With the help of visualization tools such as Tableau and detailed reporting on selection patterns, the impact of social media on decision making and the relationship between personality and purchasing power in various age groups is found. The presented study lists major decision-making psychometric factors and highlights critical factors affecting online purchases. The role of IoB is to shape customer service through the use of artificial intelligence, cloud computing, data, smart analytics, machine learning, and other volatile technologies.

The attractive components of this book are discussions of dynamic routing mechanisms to reduce energy consumption in software-defined networks; deep insight into Internet of Things (IoT) and IoB security and privacy concerns - applications and future challenges; sentiment analysis and feature reduction using an arboreal monkey compression algorithm with a deep modified neural network classifier; cybersecurity concerns for IoB; and identification of nutrients and microbial contamination in fruits and vegetables using a technology using the Internet of Behavior. There is no doubt that this book covers numerous interesting themes and details on the Internet of Behavior.

本書旨在探討行為互聯網（IoB）。書籍首先介紹了IoB的好處和潛在風險。如今，IoB在世界各個行業都有巨大的潛力。IoB有許多應用，可以提升用戶體驗，同時也有助於商業市場。本書詳細討論了IoB的好處和限制。現在是IoB登基統治世界的時候了。IoB的工作對於保護我們的數據安全至關重要，因為它能夠識別試圖竊取他人數據的所有人。此外，商業對IoB的需求很高。通過利用有前途的技術改進和機器學習算法的進步，IoB能夠捕捉、分析、理解和回應各種人類行為，從而實現行為的追蹤和解釋。在需要研究人們的行為、偏好、興趣和位置的場合，IoB非常有用。另一方面，對消費者社交和行為心理學以及其對線上購買的影響進行分析研究非常必要。通過使用Tableau等可視化工具和對選擇模式的詳細報告，可以發現社交媒體對決策的影響以及不同年齡組的個性和購買力之間的關係。該研究列出了主要的決策心理測量因素，並突出了影響線上購買的關鍵因素。IoB的作用是通過使用人工智能、雲計算、數據、智能分析、機器學習和其他不穩定的技術來塑造客戶服務。

本書的吸引人之處包括討論軟件定義網絡中減少能源消耗的動態路由機制；對物聯網（IoT）和IoB安全和隱私問題的深入洞察 - 應用和未來挑戰；使用深度修改的神經網絡分類器的樹狀猴壓縮算法進行情感分析和特徵降維；IoB的網絡安全問題；以及使用行為互聯網技術識別水果和蔬菜中的營養物質和微生物污染。毫無疑問，本書涵蓋了許多有趣的主題和行為互聯網的詳細內容。

Dr. R. Dhaya is presently working in the Department of Computer Science at King Khalid University, Abha, Kingdom of Saudi Arabia. She has teaching and research experience of over 16 years. Her research areas include wireless communication, advanced embedded systems, AI, ML, grid and cloud data communication, image classification, big data, and computing techniques. She has published more than 100 research articles in reputed journals and international conferences, which include SCI, Scopus, and IEEE/Springer/Elsevier/ESI Conferences. She received the Institute of Engineers, Kolkata's Outstanding Young Women Engineer award as well as the Young Women Scientist award.

Dr. R. Kanthavel is presently working in the Department of Computer Engineering at King Khalid University Abha, Kingdom of Saudi Arabia. He has 23 years of teaching and research experience. He has been doing continuous research works in the field such as wireless communication, AI, machine learning, cooperative communication, image classification, and computing techniques. He published more than 150 research articles in refereed journals and peer reviewed international conferences.

Dr. R. Dhaya目前在沙特阿拉伯阿巴哈的King Khalid大學的計算機科學系工作。她擁有超過16年的教學和研究經驗。她的研究領域包括無線通信、先進嵌入式系統、人工智能、機器學習、網格和雲數據通信、圖像分類、大數據和計算技術。她在知名期刊和國際會議上發表了100多篇研究論文，其中包括SCI、Scopus和IEEE/Springer/Elsevier/ESI會議。她曾獲得印度工程師學會加爾各答分會的傑出年輕女性工程師獎和年輕女性科學家獎。

Dr. R. Kanthavel目前在沙特阿拉伯阿巴哈的King Khalid大學的計算機工程系工作。他擁有23年的教學和研究經驗。他在無線通信、人工智能、機器學習、合作通信、圖像分類和計算技術等領域進行持續的研究工作。他在被引用的期刊和同行評審的國際會議上發表了150多篇研究論文。