… issues using ML algorithms and BC techniques in the IoT domain. … privacy threats reported
in the past 12 years in the IoT domain. We then classify the literature on security and privacy …

… in IoT also engender various privacy concerns. This paper provides a taxonomy of the existing
privacy-preserving machine learning … them in the context of IoT. Moreover, we present a …

… of IoT systems, investigates different attacks on IoT systems, and reviews the latest research
directions to solve the safety and security of IoT systems based on machine learning … in IoT …

… in different layers of IoT and describes their application on privacy protection strategies. In
… ML to protect privacy in IoT in each layer. The legal privacy considerations related to IoT are …

… protect the IoT environment effectively. In recent years, deep learning (DL)/machine learning
(… Therefore, DL/ML methods are essential to turn IoT system protection from simply enabling …

… the delicate environments of IoT. We propose a privacy-preserving ML training framework
… encryption, which enables constructing multiple privacy-preserving ML training protocols for …

… that enforces privacy and trustworthiness on IIoT data by amalgamating differential privacy,
… The feasibility of PriModChain in terms of privacy, security, reliability, safety, and resilience …

… To enhance the privacy and security of IoT data, we propose PPSF and an intelligent blockchain
framework that integrates blockchain and PCA-based transformation and machine learn…

… authentication, access control, secure offloading, and malware detection schemes to protect
data privacy are the focus of this article. We also discuss the challenges that need to be …

… can improve the privacy of the user data. We also discuss the metrics for privacy. NN is …
Our partial processing at client is thus expected to improve the privacy. However, instead of …