A novel sdn dataset for intrusion detection in iot networks

AK Sarica, P Angin - 2020 16th International Conference on …, 2020 - ieeexplore.ieee.org
The number of Internet of Things (IoT) devices and the use cases they aim to support have
increased sharply in the past decade with the rapid developments in wireless networking …

Towards lightweight intrusion identification in sdn-based industrial cyber-physical systems

A Zainudin, R Akter, DS Kim… - 2022 27th Asia Pacific …, 2022 - ieeexplore.ieee.org
Software-defined networks (SDN)-based industrial cyber-physical systems (CPS) enable
customizing development opportunities with integrated network interconnection to perform …

WILS-TRS—A novel optimized deep learning based intrusion detection framework for IoT networks

B Jothi, M Pushpalatha - Personal and Ubiquitous Computing, 2023 - Springer
Abstract Internet of Things (IoT) and its applications have gained importance in recent times
of research. The heterogeneous nature of IoT networks makes them applicable for various …

A lightweight supervised intrusion detection mechanism for IoT networks

S Roy, J Li, BJ Choi, Y Bai - Future Generation Computer Systems, 2022 - Elsevier
Abstract As the Internet of Things (IoT) is becoming increasingly popular, we have
experienced more security breaches that are associated with the connection of vulnerable …

Design optimization-based software-defined networking scheme for detecting and preventing attacks

P Charanarur, B Thanh Hung, P Chakrabarti… - Multimedia Tools and …, 2024 - Springer
In this paper, we design a Spider Monkey-based Elman Spike Neural Network (SM-ESNN)
to identify intrusion threats in Software Defined Networks (SDN). Utilizing analysis of …

DeepIDS: Deep learning approach for intrusion detection in software defined networking

TA Tang, L Mhamdi, D McLernon, SAR Zaidi… - Electronics, 2020 - mdpi.com
Software Defined Networking (SDN) is developing as a new solution for the development
and innovation of the Internet. SDN is expected to be the ideal future for the Internet, since it …

A novel hybrid intrusion detection system (IDS) for the detection of internet of things (IoT) network attacks

RA Ramadan, K Yadav - Annals of Emerging Technologies in …, 2020 - papers.ssrn.com
Nowadays, IoT has been widely used in different applications to improve the quality of life.
However, the IoT becomes increasingly an ideal target for unauthorized attacks due to its …

Intrusion detection framework for industrial internet of things using software defined network

H Alshahrani, A Khan, M Rizwan, MSA Reshan… - Sustainability, 2023 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the employment of the Internet of Things in
industrial management, where a substantial number of machines and devices are linked …

A novel deep learning-based intrusion detection system for IOT networks

A Awajan - Computers, 2023 - mdpi.com
The impressive growth rate of the Internet of Things (IoT) has drawn the attention of
cybercriminals more than ever. The growing number of cyber-attacks on IoT devices and …

A New High-Performance Feature Selection Method for Machine Learning-Based IOT Intrusion Detection

B Natarajan, S Bose, N Maheswaran… - 2023 12th …, 2023 - ieeexplore.ieee.org
In recent years, there is a significant growth experienced in both data traffic as well as
dimensionality in Internet of Things (IoT) environment. In parallel, IoT networks are often …