A review of tabular data synthesis using GANs on an IDS dataset

S Bourou, A El Saer, TH Velivassaki, A Voulkidis… - Information, 2021 - mdpi.com
Recent technological innovations along with the vast amount of available data worldwide
have led to the rise of cyberattacks against network systems. Intrusion Detection Systems …

[HTML][HTML] The whole of cyber defense: Syncing practice and theory

KM de Nobrega, AF Rutkowski, C Saunders - The Journal of Strategic …, 2024 - Elsevier
This review explores the problems Chief Information Security Officers (CISOs) and other
cyber professionals face when defending their organization against cyberattacks. Using a …

Hybrid random forest and synthetic minority over sampling technique for detecting internet of things attacks

MG Karthik, MBM Krishnan - Journal of Ambient Intelligence and …, 2021 - Springer
In recent decades, the internet of things (IoT) is a growing technology in smart applications,
where it is highly susceptible to security breaches, due to the resource constrained nature of …

Network traffic anomaly detection based on Viterbi algorithm using SNMP MIB data

S Alhaidari, A Alharbi, M Alshaikhsaleh… - Proceedings of the …, 2019 - dl.acm.org
With the growing number of attacks and malicious threats on the Internet services and
network infrastructures, the need for techniques to identify and detect attacks is increasing …

Network anomaly detection using two-dimensional hidden markov model based viterbi algorithm

S Alhaidari, M Zohdy - 2019 IEEE International Conference On …, 2019 - ieeexplore.ieee.org
Network anomaly detection has become very important area for both industrial application
and academic research in the recent years. It is involved widely in a broad spectrum of …

Cyber defensive capacity and capability:: A perspective from the financial sector of a small state

K de Nobrega - 2023 - research.tilburguniversity.edu
Tilburg University Cyber defensive capacity and capability: de Nobrega, Kristel Page 1 Tilburg
University Cyber defensive capacity and capability: de Nobrega, Kristel DOI …

Anomaly Detection for IoT Security: Comprehensive Survey

AA Rokhade, AS Vithapnavar, S Amruth… - … on Advances in …, 2023 - ieeexplore.ieee.org
The increasing adoption of the Internet of Things (IoT) technology in various fields like smart
home appliances, smart grids, health care systems etc., is transforming the way we live and …

Hybrid learning approach of combining cluster-based partitioning and hidden markov model for iot intrusion detection

S Alhaidari, M Zohdy - Proceedings of the 2019 3rd International …, 2019 - dl.acm.org
Internet of Things (IoT) is a global network that connects various types of objects" things" via
internet. It becomes a core technology for various applications and more and more …

A Network Intrusion Detection System Based on Ensemble Machine Learning Techniques

P Parkar - 2021 IEEE 2nd International Conference on Applied …, 2021 - ieeexplore.ieee.org
Technology is growing exponentially than ever before; it helps us to make unforeseen
progress but at the same time these advancements also pose a grave danger to software …

[PDF][PDF] A Review of Tabular Data Synthesis Using GANs on an IDS Dataset. Information 2021, 12, 375

S Bourou, A El Saer, TH Velivassaki, A Voulkidis… - 2021 - academia.edu
Recent technological innovations along with the vast amount of available data worldwide
have led to the rise of cyberattacks against network systems. Intrusion Detection Systems …