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Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system
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 …
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 …
years. The instantaneous development in deploying constrained devices in numerous areas …
[HTML][HTML] Intrusion detection system for cyberattacks in the Internet of Vehicles environment
This paper presents a novel framework for intrusion detection specially designed for
cyberattacks, such as Denial-of-Service, Distributed Denial-of-Service, Distributed Reflection …
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
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
in decoupling control and data planes, to automate the monitoring and management of the …