On deep reinforcement learning security for Industrial Internet of Things
Abstract The Industrial Internet of Things (IIoT), also known as Industry 4.0, empowers
manufacturing and production processes by leveraging automation and Internet of Things …
manufacturing and production processes by leveraging automation and Internet of Things …
XLF: A cross-layer framework to secure the internet of things (iot)
The burgeoning Internet of Things (IoT) has offered unprecedented opportunities for
innovations and applications that are continuously changing our life. At the same time, the …
innovations and applications that are continuously changing our life. At the same time, the …
Privacy-preserving trust management method based on blockchain for cross-domain industrial IoT
X Wu, Y Liu, J Tian, Y Li - Knowledge-Based Systems, 2024 - Elsevier
Abstract The Industrial Internet of Things (IIOT) contains many devices from different
autonomous domains (eg, factories), which need to cooperate to complete complex …
autonomous domains (eg, factories), which need to cooperate to complete complex …
BlockDeepNet: A blockchain-based secure deep learning for IoT network
The recent development in IoT and 5G translates into a significant growth of Big data in 5G—
envisioned industrial automation. To support big data analysis, Deep Learning (DL) has …
envisioned industrial automation. To support big data analysis, Deep Learning (DL) has …
rfedfw: Secure and trustable aggregation scheme for byzantine-robust federated learning in internet of things
L Ni, X Gong, J Li, Y Tang, Z Luan, J Zhang - Information Sciences, 2024 - Elsevier
Federated learning is a promising approach in the Internet of Things (IoT) that enables
collaborative and distributed machine learning among massive IoT devices without sharing …
collaborative and distributed machine learning among massive IoT devices without sharing …
Securefl: Privacy preserving federated learning with sgx and trustzone
Federated learning allows a large group of edge workers to collaboratively train a shared
model without revealing their local data. It has become a powerful tool for deep learning in …
model without revealing their local data. It has become a powerful tool for deep learning in …
Lasagna: Accelerating secure deep learning inference in sgx-enabled edge cloud
Edge intelligence has already been widely regarded as a key enabling technology in a
variety of domains. Along with the prosperity, increasing concern is raised on the security …
variety of domains. Along with the prosperity, increasing concern is raised on the security …
Learning, computing, and trustworthiness in intelligent IoT environments: Performance-energy tradeoffs
An Intelligent IoT Environment (iIoTe) is comprised of heterogeneous devices that can
collaboratively execute semi-autonomous IoT applications, examples of which include …
collaboratively execute semi-autonomous IoT applications, examples of which include …
Optimizing heterogeneity in IoT infra using federated learning and blockchain-based security strategies
V Muthukumar, R Sivakami… - INTERNATIONAL …, 2023 - fsja.univagora.ro
Abstract The Internet of Things (IoT) and associated capabilities are becoming
indispensable in the planning, operation, and administration of intricate systems of all sizes …
indispensable in the planning, operation, and administration of intricate systems of all sizes …