Block hunter: Federated learning for cyber threat hunting in blockchain-based iiot networks
A Yazdinejad, A Dehghantanha… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Nowadays, blockchain-based technologies are being developed in various industries to
improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based …
improve data security. In the context of the Industrial Internet of Things (IIoT), a chain-based …
[HTML][HTML] Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches
Attack and anomaly detection in the Internet of Things (IoT) infrastructure is a rising concern
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
in the domain of IoT. With the increased use of IoT infrastructure in every domain, threats …
ADEPT: Detection and identification of correlated attack stages in IoT networks
KLK Sudheera, DM Divakaran… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The fast-growing Internet-of-Things (IoT) market has opened up a large threat landscape,
given the wide deployment of IoT devices in both consumer and commercial spaces. Attacks …
given the wide deployment of IoT devices in both consumer and commercial spaces. Attacks …
Towards network anomaly detection using graph embedding
In the face of endless cyberattacks, many researchers have proposed machine learning-
based network anomaly detection technologies. Traditional statistical features of network …
based network anomaly detection technologies. Traditional statistical features of network …
A hybrid machine learning model for detecting cybersecurity threats in IoT applications
The introduction of the Internet of Things has led to the connectivity of millions of devices
with less human interaction. This demand in connectivity has resulted in a surge in network …
with less human interaction. This demand in connectivity has resulted in a surge in network …
Detection of security attacks in industrial IoT networks: A blockchain and machine learning approach
H Vargas, C Lozano-Garzon, GA Montoya, Y Donoso - Electronics, 2021 - mdpi.com
Internet of Things (IoT) networks have been integrated into industrial infrastructure schemes,
positioning themselves as devices that communicate highly classified information for the …
positioning themselves as devices that communicate highly classified information for the …
Intrusion detection of industrial internet-of-things based on reconstructed graph neural networks
Industrial Internet-of-Things (IIoT) are highly vulnerable to cyber-attacks due to their open
deployment in unattended environments. Intrusion detection is an efficient solution to …
deployment in unattended environments. Intrusion detection is an efficient solution to …
Network anomaly detection inside consumer networks—a hybrid approach
With an increasing number of Internet of Things (IoT) devices in the digital world, the attack
surface for consumer networks has been increasing exponentially. Most of the compromised …
surface for consumer networks has been increasing exponentially. Most of the compromised …
SDN-based intrusion detection system for early detection and mitigation of DDoS attacks
The current paper addresses relevant network security vulnerabilities introduced by network
devices within the emerging paradigm of Internet of Things (IoT) as well as the urgent need …
devices within the emerging paradigm of Internet of Things (IoT) as well as the urgent need …
Distributed internal anomaly detection system for Internet-of-Things
NK Thanigaivelan, E Nigussie, RK Kanth… - 2016 13th IEEE …, 2016 - ieeexplore.ieee.org
We present overview of a distributed internal anomaly detection system for Internet-of-things.
In the detection system, each node monitors its neighbors and if abnormal behavior is …
In the detection system, each node monitors its neighbors and if abnormal behavior is …