A systematic literature review on outlier detection in wireless sensor networks
A wireless sensor network (WSN) is defined as a set of spatially distributed and
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
Efficient anomaly detection for smart hospital IoT systems
AM Said, A Yahyaoui, T Abdellatif - Sensors, 2021 - mdpi.com
In critical Internet of Things (IoT) application domains, such as the Defense Industry and
Healthcare, false alerts have many negative effects, such as fear, disruption of emergency …
Healthcare, false alerts have many negative effects, such as fear, disruption of emergency …
READ-IoT: reliable event and anomaly detection framework for the Internet of Things
A Yahyaoui, T Abdellatif, S Yangui, R Attia - IEEE Access, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) enables a myriad of applications by interconnecting software to
physical objects. The objects range from wireless sensors to robots and include surveillance …
physical objects. The objects range from wireless sensors to robots and include surveillance …
Hierarchical anomaly based intrusion detection and localization in IoT
A Yahyaoui, T Abdellatif, R Attia - 2019 15th International …, 2019 - ieeexplore.ieee.org
In IoT systems, WSNs and Gateways are exposed to many attacks. WSNs are usually
exposed to different types of intrusions like node compromise and denial of service attacks …
exposed to different types of intrusions like node compromise and denial of service attacks …
Machine learning based rank attack detection for smart hospital infrastructure
AM Said, A Yahyaoui, F Yaakoubi… - The Impact of Digital …, 2020 - Springer
In recent years, many technologies were racing to deliver the best service for human being.
Emerging Internet of Things (IoT) technologies made birth to the notion of smart …
Emerging Internet of Things (IoT) technologies made birth to the notion of smart …
Machine learning based network intrusion detection for data streaming IoT applications
A Yahyaoui, H Lakhdhar, T Abdellatif… - 2021 21st ACIS …, 2021 - ieeexplore.ieee.org
In recent years, Internet of Things (IoT) technologies have been widely used in many fields
such as surveillance, health-care, smart metering and environment monitoring. This …
such as surveillance, health-care, smart metering and environment monitoring. This …
An anomaly data mining method for mass sensor networks using improved PSO algorithm based on spark parallel framework
J Yuan - Journal of Grid Computing, 2020 - Springer
Accurate detection and capture of anomaly data in complex network data stream is an
important part of ensuring network security. Traditional methods cannot adapt to the high …
important part of ensuring network security. Traditional methods cannot adapt to the high …
Deep Learning-Driven Anomaly Detection for Green IoT Edge Networks
The widespread use of sensor devices in IoT networks imposes a significant burden on
energy consumption at the network's edge. To address energy concerns, a prompt anomaly …
energy consumption at the network's edge. To address energy concerns, a prompt anomaly …
[PDF][PDF] SCIS: Secure Critical Infrastructure Surveillance
A Yahyaoui, T Abdellatif, R Attia - Welcome message - cert.tn
A secure surveillance of critical infrastructures supposes two things:(1) detecting events of
interest like fire, flood and unauthorized person presence and (2) securing the surveillance …
interest like fire, flood and unauthorized person presence and (2) securing the surveillance …