OEAD: An Online Ensemble-based Anomaly Detection technique for RPL network
S Budania, MV Shenoy - … of the 25th International Conference on …, 2024 - dl.acm.org
Routing Protocol for Low-Power and Lossy Networks (RPL) is a widely used routing protocol
in low-power and lossy networks especially when convergecast traffic is predominant. RPL …
in low-power and lossy networks especially when convergecast traffic is predominant. RPL …
Creating novel features to anomaly network detection using DARPA-2009 data set
The increased usage of Internet, E-business, and social network enables attack behaviour
with diverse fashions. A Network Intrusion Detection System (NIDS) is software which can …
with diverse fashions. A Network Intrusion Detection System (NIDS) is software which can …
Network anomaly detection using unsupervised feature selection and density peak clustering
Intrusion detection systems (IDSs) play a significant role to effectively defend our crucial
computer systems or networks against attackers on the Internet. Anomaly detection is an …
computer systems or networks against attackers on the Internet. Anomaly detection is an …
Network anomaly detection and identification based on deep learning methods
Network anomaly detection is the process of determining when network behavior has
deviated from the normal behavior. The detection of abnormal events in large dynamic …
deviated from the normal behavior. The detection of abnormal events in large dynamic …
Netdetector: an anomaly detection platform for networked systems
Network is an essential infrastructure for mobile edge clouds. The communication between
mobile devices and the communication between mobile device and the cloud both rely on …
mobile devices and the communication between mobile device and the cloud both rely on …
Recursive feature elimination and clustering technique for network anomaly detection
RK Jeyauthmigha, RC Suganthe - … International Conference on …, 2018 - ieeexplore.ieee.org
Nowadays the number of people using the network has increased with the increase in
security threats. So, anomaly detection technique Recursive feature elimination and …
security threats. So, anomaly detection technique Recursive feature elimination and …
Effective and efficient network anomaly detection system using machine learning algorithm
Network anomaly detection system enables to monitor computer network that behaves
differently from the network protocol and it is many implemented in various domains. Yet, the …
differently from the network protocol and it is many implemented in various domains. Yet, the …
CNN-BiLSTM-Based Classification of RPL Attacks in IoT Smart Grid Networks (Industry Track)
Y Guan, M Noferesti, N Ezzati-Jivan - Proceedings of the 24th …, 2023 - dl.acm.org
The widespread integration of Internet of Things (IoT) technology in modern electrical power
grids has given rise to the emergence of Industrial IoT Smart Grid Networks. However, the …
grids has given rise to the emergence of Industrial IoT Smart Grid Networks. However, the …
Versatile unsupervised anomaly detection method for RTE-based networks
Reliability and dependability are critical demands of the fourth industrial revolution that Real-
time Ethernet (RTE) networks have to meet. The use of anomaly detection and prevention …
time Ethernet (RTE) networks have to meet. The use of anomaly detection and prevention …
A deep one-class model for network anomaly detection
S Dai, J Yan, X Wang, L Zhang - IOP Conference Series …, 2019 - iopscience.iop.org
For traditional network anomaly detection system, the detection performance is related to the
selected features and training dataset. But traditional methods adopt handcraft feature …
selected features and training dataset. But traditional methods adopt handcraft feature …