Adaptive anomaly detection for internet of things in hierarchical edge computing: A contextual-bandit approach
The advances in deep neural networks (DNN) have significantly enhanced real-time
detection of anomalous data in IoT applications. However, the complexity-accuracy-delay …
detection of anomalous data in IoT applications. However, the complexity-accuracy-delay …
BAD: A blockchain anomaly detection solution
M Signorini, M Pontecorvi, W Kanoun… - IEEE Access, 2020 - ieeexplore.ieee.org
Anomaly detection tools play a role of paramount importance in protecting networks and
systems from unforeseen attacks, usually by automatically recognizing and filtering out …
systems from unforeseen attacks, usually by automatically recognizing and filtering out …
Iot anomaly detection via device interaction graph
With diverse functionalities and advanced platform applications, Internet of Things (IoT)
devices extensively interact with each other, and these interactions govern the legitimate …
devices extensively interact with each other, and these interactions govern the legitimate …
Towards blockchained challenge-based collaborative intrusion detection
To protect distributed network resources and assets, collaborative intrusion detection
systems/networks (CIDSs/CIDNs) have been widely deployed in various organizations with …
systems/networks (CIDSs/CIDNs) have been widely deployed in various organizations with …
Robust anomaly detection on unreliable data
Classification algorithms have been widely adopted to detect anomalies for various systems,
eg, IoT and cloud, under the common assumption that the data source is clean, ie, features …
eg, IoT and cloud, under the common assumption that the data source is clean, ie, features …
Toward accurate anomaly detection in industrial internet of things using hierarchical federated learning
The Industrial Internet of Things (IIoT) is an emerging technology that can promote the
development of industrial intelligence, improve production efficiency, and reduce …
development of industrial intelligence, improve production efficiency, and reduce …
Anomaly detection using deep convolutional generative adversarial networks in the internet of things
AK Mishra, S Paliwal, G Srivastava - ISA transactions, 2024 - Elsevier
Advanced 5 G and 6 G technologies have accelerated the adoption of the Internet of Things
(IoT) and are a priority in providing support for high-speed communication and fast data …
(IoT) and are a priority in providing support for high-speed communication and fast data …
A Distributed framework for detecting DDoS attacks in smart contract‐based Blockchain‐IoT Systems by leveraging Fog computing
With the advancement of blockchain technology, and the proliferation of Internet of things
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …
(IoT)‐driven devices, the blockchain‐IoT applications is changing the perception and …
Enhancing blockchain-based filtration mechanism via IPFS for collaborative intrusion detection in IoT networks
W Li, Y Wang, J Li - Journal of Systems Architecture, 2022 - Elsevier
Abstract Internet of Things (IoT) has become more important for setting up a smart
environment, eg, smart home. It is a network of connected devices, which can provide many …
environment, eg, smart home. It is a network of connected devices, which can provide many …
Anomaly intrusion detection systems in IoT using deep learning techniques: a survey
Security has a major role to play in the utilization and operations of the internet of things
(IoT). Several studies have explored anomaly intrusion detection and its utilization in a …
(IoT). Several studies have explored anomaly intrusion detection and its utilization in a …