Название: Internet of Behaviors (IoB)
Автор: R. Dhaya, R. Kanthavel
Издательство: CRC Press
Год: 2023
Страниц: 258
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

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.

The Internet of Behavior (IoB) cannot be discussed without mentioning the Internet of Things (IoT). The IoT can be defined as the interconnected network of devices which collects data and further shares it online. Technological advancements are happening day by day. Moreover, this is reflected in the IoT. Today, the IoT involves more complexities than before. It has evolved to a level where calculations can be performed on its own. The IoT comprises network-enabled devices which gather, transfer and process the data captured with the help of embedded systems. They provide sensor data collected via connecting IoT gateways. Furthermore, the data is passed to the cloud server for detailed analysis or analyzed locally. These devices have the proper communication abilities to share valuable information. These devices work without human aid. However, humans can have interaction with these devices for device setup and to assign tasks and access data. The IoT helps upgrade the lifestyle of people with smarter work and gadgets. It helps people have control over their lives. Besides producing smart devices for the automation of houses, IoT devices are inevitable in the business sector.




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