Hierarchical machine learning for IoT anomaly detection in SDN
P Amangele, MJ Reed, M Al-Naday… - 2019 International …, 2019 - ieeexplore.ieee.org
The Internet of Things is a fast emerging technology, however, there have been a significant
number of security challenges that have hindered its adoption. This work explores the use of …
number of security challenges that have hindered its adoption. This work explores the use of …
[PDF][PDF] Machine learning based network anomaly detection for IoT environments
V Timčenko, S Gajin - ICIST-2018 conference, 2018 - eventiotic.com
This paper focuses on the problem of providing security measures, anomaly detection, and
prevention to the emerging IoT environment. We have considered several different …
prevention to the emerging IoT environment. We have considered several different …
Anomaly detection technique for intrusion detection in sdn environment using continuous data stream machine learning algorithms
ARL Ribeiro, RYC Santos… - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Software Defined Networks (SDN) present some security weakness due to the separation
between control and data planes. Thus, some operational security mechanisms have been …
between control and data planes. Thus, some operational security mechanisms have been …
Software defined machine learning based anomaly detection in fog based iot network
Adaptation of intelligent devices with smart connectivity has tremendously increased the
Internet of Things (IoT) traffic. For the security of IoTs massive applications, anomaly …
Internet of Things (IoT) traffic. For the security of IoTs massive applications, anomaly …
[HTML][HTML] Network anomaly detection methods in IoT environments via deep learning: A Fair comparison of performance and robustness
Abstract The Internet of Things (IoT) is a key enabler in closing the loop in Cyber-Physical
Systems, providing “smartness” and thus additional value to each monitored/controlled …
Systems, providing “smartness” and thus additional value to each monitored/controlled …
Classifying security attacks in IoT networks using supervised learning
C Ioannou, V Vassiliou - 2019 15th International conference on …, 2019 - ieeexplore.ieee.org
Machine learning models have long be proposed to detect the presence of unauthorized
activity within computer networks. They are used as anomaly detection techniques to detect …
activity within computer networks. They are used as anomaly detection techniques to detect …
Effective anomaly detection using deep learning in IoT systems
Anomaly detection in network traffic is a hot and ongoing research theme especially when
concerning IoT devices, which are quickly spreading throughout various situations of …
concerning IoT devices, which are quickly spreading throughout various situations of …
An Efficient Feature Extraction Method for Attack Classification in IoT Networks
Numerous attacks on the Internet of Things (IoTs) necessitate detection and prevention
technologies, such as Intrusion Detection Systems (IDSs). Anomaly detection is a time …
technologies, such as Intrusion Detection Systems (IDSs). Anomaly detection is a time …
[PDF][PDF] An IoT environment based framework for intelligent intrusion detection
Software-defined networking (SDN) represents a paradigm shift in network traffic
management. It distinguishes between the data and control planes. APIs are then used to …
management. It distinguishes between the data and control planes. APIs are then used to …
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 …