Toward a lightweight intrusion detection system for the internet of things
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …
Contrastive autoencoder for anomaly detection in multivariate time series
H Zhou, K Yu, X Zhang, G Wu, A Yazidi - Information Sciences, 2022 - Elsevier
With the proliferation of the Internet of Things, a large amount of multivariate time series
(MTS) data is being produced daily by industrial systems, corresponding in many cases to …
(MTS) data is being produced daily by industrial systems, corresponding in many cases to …
A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks
Abstract Sensors in a Wireless Sensor Network (WSN) sense, process, and transmit
information simultaneously. They mainly find applications in agriculture monitoring …
information simultaneously. They mainly find applications in agriculture monitoring …
An intrusion detection system for wireless sensor networks using deep neural network
V Gowdhaman, R Dhanapal - Soft Computing, 2022 - Springer
Wireless sensor network comprises of a large number of sensor nodes to acquire and
transmit data to the central location. However, due to resource constrained nodes …
transmit data to the central location. However, due to resource constrained nodes …
An edge based hybrid intrusion detection framework for mobile edge computing
Abstract The Mobile Edge Computing (MEC) model attracts more users to its services due to
its characteristics and rapid delivery approach. This network architecture capability enables …
its characteristics and rapid delivery approach. This network architecture capability enables …
Feature-selection and mutual-clustering approaches to improve DoS detection and maintain WSNs' lifetime
Wireless Sensor Networks (WSNs) continue to face two major challenges: energy and
security. As a consequence, one of the WSN-related security tasks is to protect them from …
security. As a consequence, one of the WSN-related security tasks is to protect them from …
Task offloading of cooperative intrusion detection system based on Deep Q Network in mobile edge computing
X Zhao, G Huang, J Jiang, L Gao, M Li - Expert Systems with Applications, 2022 - Elsevier
Due to the performance and resource limitations of wireless devices at the edge of the
network, the intrusion detection system deployed on the mobile edge network will cause …
network, the intrusion detection system deployed on the mobile edge network will cause …
Anomaly detection using ensemble random forest in wireless sensor network
In the field of wireless sensor network (WSN), anomaly detection is an important task. In this
work, we have presented an anomaly detection process using ensemble random forest …
work, we have presented an anomaly detection process using ensemble random forest …
Data transmission reduction using prediction and aggregation techniques in IoT-based wireless sensor networks
H Liazid, M Lehsaini, A Liazid - Journal of Network and Computer …, 2023 - Elsevier
Currently, broad ranges of economic sectors exploit the Internet of Things (IoT) and Wireless
Sensor Networks (WSNs) technology generating problems to be managing, processing and …
Sensor Networks (WSNs) technology generating problems to be managing, processing and …
A survey and taxonomy of resource allocation methods in wireless networks
H Liang, W Zhang - Journal of Communications and …, 2021 - ieeexplore.ieee.org
Resource allocation is a fundamental and vital issue for arbitrary wireless networks, which
can guarantee the network to run efficiently and stably. Especially, in the 5G and future 6G …
can guarantee the network to run efficiently and stably. Especially, in the 5G and future 6G …