Privacy Preservation in IoT: Machine Learning Approaches

Discover the cutting-edge insights in "Privacy Preservation in IoT: Machine Learning Approaches" by Youyang Qu, published in 2022 by Springer Verlag. This enlightening paperback, comprising 119 pages, delves into the intricate relationship between machine learning and privacy preservation in the Internet of Things (IoT). Qu meticulously explores the advantages and disadvantages of current methodologies, providing a clear framework for understanding this rapidly evolving field. As IoT continues to expand, this book sheds light on future directions and innovations that promise to enhance privacy measures. Whether you are a researcher, practitioner, or enthusiast, this first edition is an essential resource for navigating the complexities of privacy in IoT environments. Equip yourself with the knowledge to stay ahead in this under-explored domain.