Federated learning for internet of things: A comprehensive survey
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …
A comprehensive survey on network anomaly detection
Nowadays, there is a huge and growing concern about security in information and
communication technology among the scientific community because any attack or anomaly …
communication technology among the scientific community because any attack or anomaly …
DÏoT: A federated self-learning anomaly detection system for IoT
IoT devices are increasingly deployed in daily life. Many of these devices are, however,
vulnerable due to insecure design, implementation, and configuration. As a result, many …
vulnerable due to insecure design, implementation, and configuration. As a result, many …
[PDF][PDF] Poisoning attacks on federated learning-based IoT intrusion detection system
Federated Learning (FL) is an appealing method for applying machine learning to large
scale systems due to the privacy and efficiency advantages that its training mechanism …
scale systems due to the privacy and efficiency advantages that its training mechanism …
Distributed online one-class support vector machine for anomaly detection over networks
Anomaly detection has attracted much attention in recent years since it plays a crucial role in
many domains. Various anomaly detection approaches have been proposed, among which …
many domains. Various anomaly detection approaches have been proposed, among which …
Generative adversarial networks for distributed intrusion detection in the internet of things
To reap the benefits of the Internet of Things (IoT), it is imperative to secure the system
against cyber attacks in order to enable mission critical and real-time applications. To this …
against cyber attacks in order to enable mission critical and real-time applications. To this …
Fault detection with LSTM-based variational autoencoder for maritime components
Maintenance routines on ships today follow either a reactive maintenance (RM) or
preventive maintenance (PvM) approach. RM can be regarded as post-failure repair, which …
preventive maintenance (PvM) approach. RM can be regarded as post-failure repair, which …
Distributed host-based collaborative detection for false data injection attacks in smart grid cyber-physical system
False data injection (FDI) attacks are crucial security threats to smart grid cyber-physical
system (CPS), and could result in cataclysmic consequences to the entire power system …
system (CPS), and could result in cataclysmic consequences to the entire power system …
Distributed real-time anomaly detection in networked industrial sensing systems
Reliable real-time sensing plays a vital role in ensuring the reliability and safety of industrial
cyber-physical systems (CPSs) such as wireless sensor and actuator networks. For many …
cyber-physical systems (CPSs) such as wireless sensor and actuator networks. For many …
Distributed-graph-based statistical approach for intrusion detection in cyber-physical systems
Cyber-physical systems have recently emerged in several practical engineering applications
where security and privacy are of paramount importance. This motivated the paper and a …
where security and privacy are of paramount importance. This motivated the paper and a …