Efficacy of heterogeneous ensemble assisted machine learning model for binary and multi-class network intrusion detection
T Acharya, I Khatri, A Annamalai… - … on Automatic Control …, 2021 - ieeexplore.ieee.org
The exponential rise in internet technologies and allied applications encompass a
significantly large number of networked devices have alarmed academia-industries to …
significantly large number of networked devices have alarmed academia-industries to …
PSO-driven feature selection and hybrid ensemble for network anomaly detection
As a system capable of monitoring and evaluating illegitimate network access, an intrusion
detection system (IDS) profoundly impacts information security research. Since machine …
detection system (IDS) profoundly impacts information security research. Since machine …
Anomaly detection for iot systems using active learning
M Zakariah, AS Almazyad - Applied Sciences, 2023 - mdpi.com
The prevalence of Internet of Things (IoT) technologies is on the rise, making the
identification of anomalies in IoT systems crucial for ensuring their security and reliability …
identification of anomalies in IoT systems crucial for ensuring their security and reliability …
Enhancing IoT botnets attack detection using machine learning-IDS and ensemble data preprocessing technique
NA Hikal, MM Elgayar - Internet of Things—Applications and Future …, 2020 - Springer
The need of IoT technologies and their applications are increasing every day. While getting
benefits from this technology, these vast numbers of non-smart connected cyber-physical …
benefits from this technology, these vast numbers of non-smart connected cyber-physical …
HH-NIDS: Heterogeneous hardware-based network intrusion detection framework for IoT security
This study proposes a heterogeneous hardware-based framework for network intrusion
detection using lightweight artificial neural network models. With the increase in the volume …
detection using lightweight artificial neural network models. With the increase in the volume …
Ensemble bagging approach for IoT sensor based anomaly detection
DKK Reddy, HS Behera, GMS Pratyusha… - Intelligent Computing in …, 2021 - Springer
The IoT is the next age of communication, as the rapidity of connecting physical objects
around us to the internet is mounting swiftly. The inanimate physical devices can be …
around us to the internet is mounting swiftly. The inanimate physical devices can be …
On the performance of machine learning models for anomaly-based intelligent intrusion detection systems for the internet of things
G Abdelmoumin, DB Rawat… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Anomaly-based machine learning-enabled intrusion detection systems (AML-IDSs) show
low performance and prediction accuracy while detecting intrusions in the Internet of Things …
low performance and prediction accuracy while detecting intrusions in the Internet of Things …
Adriot: An edge-assisted anomaly detection framework against iot-based network attacks
Internet of Things (IoT) has entered a stage of rapid development and increasing
deployment. Meanwhile, these low-power devices typically cannot support complex security …
deployment. Meanwhile, these low-power devices typically cannot support complex security …
Federated-learning-based anomaly detection for IoT security attacks
V Mothukuri, P Khare, RM Parizi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is made up of billions of physical devices connected to the
Internet via networks that perform tasks independently with less human intervention. Such …
Internet via networks that perform tasks independently with less human intervention. Such …
Smart anomaly detection using data-driven techniques in iot edge: a survey
J Manokaran, G Vairavel - Proceedings of Third International Conference …, 2022 - Springer
In this article, we survey the different data-driven techniques for smart anomaly detection at
the Internet of Things (IoT) edge. Anomaly detection is a significant study issue because of …
the Internet of Things (IoT) edge. Anomaly detection is a significant study issue because of …