NCGTM: A Noncooperative Game-Theoretic Model to Assist IDS in Cloud Environment

KS Gill, S Saxena, A Sharma - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Cloud computing has proved to be a high-quality delivery paradigm over the past years.
Some of the devices linked with the Cloud have weak security implications. The attacker can …

Development of Threat Hunting Model Using Machine Learning Algorithms for Cyber Attacks Mitigation

JET Akinsola, EA Olajubu… - 2022 International …, 2022 - ieeexplore.ieee.org
Threat hunting has become very popular due to the present dynamic cyber security
environment. As there remains increase in attacks' landscape, the traditional way of …

Adaptive cloud intrusion detection system based on pruned exact linear time technique

W Elbakri, MM Siraj, BAS Al-Rimy… - Computers, Materials …, 2024 - irep.ntu.ac.uk
Cloud computing environments, characterized by dynamic scaling, distributed architectures,
and complex workloads, are increasingly targeted by malicious actors. These threats …

A survey and analysis of intrusion detection models based on information security and object technology-cloud intrusion dataset

Y Ayachi, Y Mellah, M Saber… - … Journal of Artificial …, 2022 - search.proquest.com
Nowadays society, economy, and critical infrastructures have become principally dependent
on computers, networks, and information technology solutions, on the other side, cyber …

Optimising the Detection of Fake News in Multilingual Exposition using Machine Learning Techniques

BR Reddy, T Tejaswi, P Naveen… - 2023 7th International …, 2023 - ieeexplore.ieee.org
As social media has gotten more and more popular in recent years, there are many websites
and social media platforms that claim to report on forth coming events, but whose veracity …

Data-Centric Federated Learning for Anomaly Detection in Smart Grids and Other Industrial Control Systems

D Perdigão, T Cruz, P Simões… - NOMS 2024-2024 IEEE …, 2024 - ieeexplore.ieee.org
Energy smart grids and other modern industrial control systems networks impose
considerable security management challenges due to several factors: their broad …

A Review of Intrusion Detection Research Based on Deep Learning

M Deng, Y Kan, H Xu, C Sun - … of the 2nd International Conference on …, 2023 - dl.acm.org
In recent years, the network security situation has become critical. A key component of
network security is intrusion detection. With the continuous development of deep learning …

Towards An Intrusion Detection System For Smart Grids: A Federated Approach

DG Perdigão - 2023 - estudogeral.uc.pt
The emergence of 5G and the Internet of Things has prompted nations across the globe to
develop smart grids, an advanced electrical grid infrastructure capable of producing and …