Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
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 …

A comprehensive survey on network anomaly detection

G Fernandes, JJPC Rodrigues, LF Carvalho… - Telecommunication …, 2019 - Springer
Nowadays, there is a huge and growing concern about security in information and
communication technology among the scientific community because any attack or anomaly …

DÏoT: A federated self-learning anomaly detection system for IoT

TD Nguyen, S Marchal, M Miettinen… - 2019 IEEE 39th …, 2019 - ieeexplore.ieee.org
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 …

[PDF][PDF] Poisoning attacks on federated learning-based IoT intrusion detection system

TD Nguyen, P Rieger, M Miettinen… - … Decentralized IoT Syst …, 2020 - ndss-symposium.org
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 …

Distributed online one-class support vector machine for anomaly detection over networks

X Miao, Y Liu, H Zhao, C Li - IEEE transactions on cybernetics, 2018 - ieeexplore.ieee.org
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 …

Generative adversarial networks for distributed intrusion detection in the internet of things

A Ferdowsi, W Saad - 2019 IEEE Global Communications …, 2019 - ieeexplore.ieee.org
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 …

Fault detection with LSTM-based variational autoencoder for maritime components

P Han, AL Ellefsen, G Li, FT Holmeset… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
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 …

Distributed host-based collaborative detection for false data injection attacks in smart grid cyber-physical system

B Li, R Lu, W Wang, KKR Choo - Journal of Parallel and Distributed …, 2017 - Elsevier
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 …

Distributed real-time anomaly detection in networked industrial sensing systems

PY Chen, S Yang, JA McCann - IEEE Transactions on Industrial …, 2014 - ieeexplore.ieee.org
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 …

Distributed-graph-based statistical approach for intrusion detection in cyber-physical systems

H Sadreazami, A Mohammadi, A Asif… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …