A detailed analysis of benchmark datasets for network intrusion detection system

M Ghurab, G Gaphari, F Alshami… - Asian Journal of …, 2021 - papers.ssrn.com
The enormous increase in the use of the Internet in daily life has provided an opportunity for
the intruder attempt to compromise the security principles of availability, confidentiality, and …

Artificial intelligence based optimization with deep learning model for blockchain enabled intrusion detection in CPS environment

RF Mansour - Scientific Reports, 2022 - nature.com
Cyber physical system (CPS) is a network of cyber and physical elements, which interact
with one another in a feedback form. CPS approves critical infrastructure and is treated as …

Network intrusion detection using oversampling technique and machine learning algorithms

HA Ahmed, A Hameed, NZ Bawany - PeerJ Computer Science, 2022 - peerj.com
The expeditious growth of the World Wide Web and the rampant flow of network traffic have
resulted in a continuous increase of network security threats. Cyber attackers seek to exploit …

Deep learning based hybrid intrusion detection systems to protect satellite networks

AT Azar, E Shehab, AM Mattar, IA Hameed… - Journal of Network and …, 2023 - Springer
Despite the fact that satellite-terrestrial systems have advantages such as high throughput,
low latency, and low energy consumption, as well as low exposure to physical threats and …

Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning

F Jin, M Chen, W Zhang, Y Yuan, S Wang - Information Sciences, 2021 - Elsevier
In recent years, the Internet of vehicles (IoV) technology becomes a research hotspot.
However, it also becomes a hotbed for malicious attacks. In the IoV, frequent data …

TEA-EKHO-IDS: An intrusion detection system for industrial CPS with trustworthy explainable AI and enhanced krill herd optimization

S Sivamohan, SS Sridhar, S Krishnaveni - Peer-to-Peer Networking and …, 2023 - Springer
Industrial cyber-physical systems (CPS) are vulnerable to cyberattacks that can compromise
their operations, safety, and security. Traditional intrusion detection systems are ineffective …

FS-IDS: A framework for intrusion detection based on few-shot learning

J Yang, H Li, S Shao, F Zou, Y Wu - Computers & Security, 2022 - Elsevier
Due to the high dependency of traditional intrusion detection method on a fully-labeled large
dataset, existing works can hardly be applied in real-world scenarios, especially facing zero …

iNIDS: SWOT Analysis and TOWS Inferences of State-of-the-Art NIDS solutions for the development of Intelligent Network Intrusion Detection System

J Verma, A Bhandari, G Singh - Computer Communications, 2022 - Elsevier
Introduction: The growth of ubiquitous networked devices and the proliferation of
geographically dispersed 'Internet of Thing'devices have exponentially increased network …

Generative adversarial attacks against intrusion detection systems using active learning

D Shu, NO Leslie, CA Kamhoua… - Proceedings of the 2nd …, 2020 - dl.acm.org
Intrusion Detection Systems (IDS) are increasingly adopting machine learning (ML)-based
approaches to detect threats in computer networks due to their ability to learn underlying …

Defending the digital Frontier: IDPS and the battle against Cyber threat

H Azam, MI Dulloo, MH Majeed, JPH Wan, LT Xin… - 2023 - preprints.org
The ever-evolving landscape of technology continually drives the demand for more robust
and secure systems. Intrusion Detection and Prevention Systems (IPS) play a pivotal role in …