Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system

MHL Louk, BA Tama - Expert Systems with Applications, 2023 - Elsevier
The mission of an intrusion detection system (IDS) is to monitor network activities and
assess whether or not they are malevolent. Specifically, anomaly-based IDS can discover …

[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT

M Vishwakarma, N Kesswani - Decision Analytics Journal, 2022 - Elsevier
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …

[HTML][HTML] Intrusion detection system for cyberattacks in the Internet of Vehicles environment

MS Korium, M Saber, A Beattie, A Narayanan, S Sahoo… - Ad hoc networks, 2024 - Elsevier
This paper presents a novel framework for intrusion detection specially designed for
cyberattacks, such as Denial-of-Service, Distributed Denial-of-Service, Distributed Reflection …

Malicious node detection using machine learning and distributed data storage using blockchain in WSNs

M Nouman, U Qasim, H Nasir, A Almasoud… - IEEe …, 2023 - ieeexplore.ieee.org
In the proposed work, blockchain is implemented on the Base Stations (BSs) and Cluster
Heads (CHs) to register the nodes using their credentials and also to tackle various security …

A hybrid framework for intrusion detection in healthcare systems using deep learning

M Akshay Kumaar, D Samiayya… - Frontiers in Public …, 2022 - frontiersin.org
The unbounded increase in network traffic and user data has made it difficult for network
intrusion detection systems to be abreast and perform well. Intrusion Systems are crucial in e …

An intrusion detection system for edge-envisioned smart agriculture in extreme environment

D Javeed, T Gao, MS Saeed… - IEEE internet of things …, 2023 - ieeexplore.ieee.org
The deployment of Internet of Things (IoT) systems in smart agriculture (SA) operates in
extreme environments, including wind, snowfall, flooding, landscape, and so on for …

A comprehensive survey on ensemble learning-based intrusion detection approaches in computer networks

TJ Lucas, IS de Figueiredo, CAC Tojeiro… - IEEE …, 2023 - ieeexplore.ieee.org
Machine learning algorithms present a robust alternative for building Intrusion Detection
Systems due to their ability to recognize attacks in computer network traffic by recognizing …

A comprehensive intrusion detection method for the internet of vehicles based on federated learning architecture

K Huang, R **an, M **an, H Wang, L Ni - Computers & Security, 2024 - Elsevier
Cybersecurity breaches within the Internet of Vehicles (IoV) have been increasingly reported
annually with the proliferation of intelligent connected vehicles. Two primary obstacles are …

[PDF][PDF] Performance analysis of intrusion detection for deep learning model based on CSE-CIC-IDS2018 dataset

BI Farhan, AD Jasim - Indonesian Journal of Electrical Engineering …, 2022 - academia.edu
The evolution of the internet of things as a promising and modern technology has facilitated
daily life. Its emergence was accompanied by challenges represented by its frequent …

Ensemble learning for intrusion detection in SDN-based zero touch smart grid systems

Z Abou El Houda, B Brik… - 2022 IEEE 47th …, 2022 - ieeexplore.ieee.org
Software-defined network (SDN) is widely deployed on Smart Grid (SG) systems. It consists
in decoupling control and data planes, to automate the monitoring and management of the …