DLA-ABIDS: Deep Learning Approach for Anomaly Based Intrusion Detection System
IB Ahmed, FB Ktata… - 2023 20th ACS/IEEE …, 2023 - ieeexplore.ieee.org
Nowadays, with the proliferation of the number of IoT devices, management and security of
data are becoming crucial tasks. Intrusion detection systems (IDS) monitor network traffic for …
data are becoming crucial tasks. Intrusion detection systems (IDS) monitor network traffic for …
Intrusion detection using network traffic profiling and machine learning for IoT
JR Rose, M Swann, G Bendiab… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …
ranging from improved efficiency to higher productivity. However, the limited resources and …
Improvement of Anomaly Detection System in the IoT Networks using CNN-LSTM Approach
H Benaddi, M Jouhari, K Ibrahimi… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
In the last few years, there has been a massive increase in Internet of Things (IoT) devices
and the data generated from these appliances. Devices involved in IoT networks can be …
and the data generated from these appliances. Devices involved in IoT networks can be …
Anomaly-based intrusion detection approach for IoT networks using machine learning
P Maniriho, E Niyigaba, Z Bizimana… - 2020 international …, 2020 - ieeexplore.ieee.org
The proliferation of the Internet of Things (IoT) devices in smart environments such as smart
cities or smart home facilitate communication between various objects. Nevertheless, this …
cities or smart home facilitate communication between various objects. Nevertheless, this …
Efficient approach for anomaly detection in internet of things traffic using deep learning
The network intrusion detection system (NIDs) is a significant research milestone in
information security. NIDs can scan and analyze the network to detect an attack or anomaly …
information security. NIDs can scan and analyze the network to detect an attack or anomaly …
Anomaly detection on iot network intrusion using machine learning
Enhancing the security of IoT networks is trending as one of the most crucial issues the
information technology community faces. With large scales of IoT devices being developed …
information technology community faces. With large scales of IoT devices being developed …
Using Hybrid Deep Learning Model to Detect Anomaly Traffic Efficiently
YJ Su, TL Kuo, SH Hsieh, CH Chen… - 2022 IEEE 11th …, 2022 - ieeexplore.ieee.org
Internet traffic has escalated throughout recent years, resulting in information security
evolving into a severe issue. Therefore, utilizing Intrusion Detection System to monitor …
evolving into a severe issue. Therefore, utilizing Intrusion Detection System to monitor …
Anomaly-based intrusion detection system for IoT application
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
Interpretability and Complexity Reduction in Iot Network Anomaly Detection Via XAI
Due to their versatility and effectiveness, Deep Learning (DL) approaches are increasingly
used in designing Network Intrusion Detection Systems (NIDSs). Specifically, Anomaly …
used in designing Network Intrusion Detection Systems (NIDSs). Specifically, Anomaly …
[PDF][PDF] Discover Internet of Things
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …
has a wide application, such as in transportation, military, healthcare, agriculture, and many …