Seagull Optimization-based Feature Selection with Optimal Extreme Learning Machine for Intrusion Detection in Fog Assisted WSN

T Muthu, VK Kalimuthu - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak On the internet, various devices that are connected to the Internet of Things (IoT)
and Wireless Sensor Networks (WSNs) share the resources that they have in accordance …

Oppositional Coyote Optimization based Feature Selection with Deep Learning Model for Intrusion Detection in FogAssisted Wireless Sensor Network.

VK KALIMUTHU, T MUTHU - Acta Montanistica Slovaca, 2023 - search.ebscohost.com
Abstract Recently, Wireless Sensor Networks (WSN) and the Internet of Things (IoT) become
widespread in several real-time applications. Since IoT devices have generated a huge …

Optimal feature selection with weight optimised deep neural network for incremental learning-based intrusion detection in fog environment

AA Abdussami, MF Farooqui - Journal of Information & Knowledge …, 2022 - World Scientific
Fog computing acts as an intermediate component to reduce the delays in communication
among end-users and the cloud that offer local processing of requests among end-users …

Intrusion detection using optimized ensemble classification in fog computing paradigm

MP Ramkumar, T Daniya, PM Paul… - Knowledge-Based …, 2022 - Elsevier
Fog computing is a framework, which expands services of the cloud to network for
addressing inherent issues of the cloud. Intrusion Detection Systems (IDSs) represent a …

Optimized machine learning-based intrusion detection system for fog and edge computing environment

OA Alzubi, JA Alzubi, M Alazab, A Alrabea, A Awajan… - Electronics, 2022 - mdpi.com
As a new paradigm, fog computing (FC) has several characteristics that set it apart from the
cloud computing (CC) environment. Fog nodes and edge computing (EC) hosts have limited …

[PDF][PDF] Incremental deep neural network intrusion detection in fog based IoT environment: An optimization assisted framework

AA Abdussami - Indian Journal of Computer Science and …, 2021 - researchgate.net
IoT has gained more attention on sharing data and directing respective tasks. IoT also has
the potential to enhance the lifestyle of people. Fog computing has been evolved to process …

Design of cognitive fog computing for intrusion detection in Internet of Things

S Prabavathy, K Sundarakantham… - Journal of …, 2018 - ieeexplore.ieee.org
Internet of things (IoT) is penetrating into every aspect of our lives including our body, our
home and our living environment along with numerous security challenges. With rapidly …

Hybrid approach to intrusion detection in fog-based IoT environments

CA De Souza, CB Westphall, RB Machado… - Computer Networks, 2020 - Elsevier
Abstract In the Internet of Things (IoT) systems, information of various kinds is continuously
captured, processed, and transmitted by systems generally interconnected by the Internet …

Deep recurrent neural network for IoT intrusion detection system

M Almiani, A AbuGhazleh, A Al-Rahayfeh… - … Modelling Practice and …, 2020 - Elsevier
As a results of the large scale development of the Internet of Things (IoT), cloud computing
capabilities including networking, data storage, management, and analytics are brought very …

[HTML][HTML] Genetic Algorithm based feature selection and Naïve Bayes for anomaly detection in fog computing environment

JO Onah, M Abdullahi, IH Hassan… - Machine Learning with …, 2021 - Elsevier
The sharp rise in network attacks has been a major source of concern in cyber security,
particularly that now internet usage and connectivity are in high demand. As a complement …