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 …

[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 …

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 …

Software defined machine learning based anomaly detection in fog based iot network

Q Shafi, S Qaisar, A Basit - … Science and Its Applications–ICCSA 2019 …, 2019 - Springer
Adaptation of intelligent devices with smart connectivity has tremendously increased the
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

G Bovenzi, G Aceto, D Ciuonzo, A Montieri… - Computers & …, 2023 - Elsevier
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 …

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 …

Effective anomaly detection using deep learning in IoT systems

L Aversano, ML Bernardi, M Cimitile… - Wireless …, 2021 - Wiley Online Library
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 …

An Efficient Feature Extraction Method for Attack Classification in IoT Networks

PH Do, TD Dinh, DT Le, L Myrova… - … Congress on Ultra …, 2021 - ieeexplore.ieee.org
Numerous attacks on the Internet of Things (IoTs) necessitate detection and prevention
technologies, such as Intrusion Detection Systems (IDSs). Anomaly detection is a time …

[PDF][PDF] An IoT environment based framework for intelligent intrusion detection

H Safwan, Z Iqbal, R Amin, MA Khan… - CMC Comput. Mater …, 2023 - researchgate.net
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 …

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 …