A security-and privacy-preserving approach based on data disturbance for collaborative edge computing in social IoT systems
The Internet of things (IoT) has certainly become one of the hottest technology frameworks of
the year. It is deep in many industries, affecting people's lives in all directions. The rapid …
the year. It is deep in many industries, affecting people's lives in all directions. The rapid …
Big data privacy preserving in multi-access edge computing for heterogeneous Internet of Things
With the popularity of smart devices, multi-access edge computing (MEC) has become the
mainstream of dealing with big data in heterogeneous Internet of Things (H-IoT). MEC …
mainstream of dealing with big data in heterogeneous Internet of Things (H-IoT). MEC …
A trusted and collaborative framework for deep learning in IoT
More and more Internet of Things (IoT) applications provide intelligent services, with the
development of artificial intelligence algorithms, such as deep reinforcement learning …
development of artificial intelligence algorithms, such as deep reinforcement learning …
Artificial intelligence for securing IoT services in edge computing: a survey
Z Xu, W Liu, J Huang, C Yang, J Lu… - Security and …, 2020 - Wiley Online Library
With the explosive growth of data generated by the Internet of Things (IoT) devices, the
traditional cloud computing model by transferring all data to the cloud for processing has …
traditional cloud computing model by transferring all data to the cloud for processing has …
Attacking and protecting data privacy in edge–cloud collaborative inference systems
Benefiting from the advance of deep learning (DL) technology, Internet-of-Things (IoT)
devices and systems are becoming more intelligent and multifunctional. They are expected …
devices and systems are becoming more intelligent and multifunctional. They are expected …
Keep your data locally: Federated-learning-based data privacy preservation in edge computing
Recently, edge computing has attracted significant interest due to its ability to extend cloud
computing utilities and services to the network edge with low response times and …
computing utilities and services to the network edge with low response times and …
[HTML][HTML] Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes
The fast proliferation of edge devices for the Internet of Things (IoT) has led to massive
volumes of data explosion. The generated data is collected and shared using edge-based …
volumes of data explosion. The generated data is collected and shared using edge-based …
Federated deep reinforcement learning based secure data sharing for Internet of Things
The increasing number of Internet of Things (IoT) devices motivate the data sharing that
improves the quality of IoT services. However, data providers usually suffer from the privacy …
improves the quality of IoT services. However, data providers usually suffer from the privacy …
Secureiiot environment: Federated learning empowered approach for securing iiot from data breach
The growing congruence of gadgets today resulted in a numerous type of cyber attacks. A
similar trend occurs with the industrial Internet of Things (IIoT), wherein increasing data …
similar trend occurs with the industrial Internet of Things (IIoT), wherein increasing data …
Ubiquitous intelligent federated learning privacy-preserving scheme under edge computing
D Li, J Lai, R Wang, X Li, P Vijayakumar… - Future Generation …, 2023 - Elsevier
With the rapid development of artificial intelligence (AI), combining machine learning (ML)
and edge computing powered by big data has become a growing trend. However, under …
and edge computing powered by big data has become a growing trend. However, under …