Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges

ETM Beltrán, MQ Pérez, PMS Sánchez… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …

A comprehensive survey on deep learning based malware detection techniques

M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …

[HTML][HTML] A hybrid CNN+ LSTM-based intrusion detection system for industrial IoT networks

HC Altunay, Z Albayrak - … Science and Technology, an International Journal, 2023 - Elsevier
Abstract The Internet of Things (IoT) ecosystem has proliferated based on the use of the
internet and cloud-based technologies in the industrial area. IoT technology used in the …

The age of ransomware: A survey on the evolution, taxonomy, and research directions

S Razaulla, C Fachkha, C Markarian… - IEEE …, 2023 - ieeexplore.ieee.org
The proliferation of ransomware has become a significant threat to cybersecurity in recent
years, causing significant financial, reputational, and operational damage to individuals and …

[HTML][HTML] XGBoost for imbalanced multiclass classification-based industrial internet of things intrusion detection systems

TTH Le, YE Oktian, H Kim - Sustainability, 2022 - mdpi.com
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …

A privacy-aware framework for detecting cyber attacks on internet of medical things systems using data fusion and quantum deep learning

M Al-Hawawreh, MS Hossain - Information Fusion, 2023 - Elsevier
Abstract Internet of Medical Things (IoMT) devices and systems are often designed without
adequate security, leaving them highly susceptible to cyber threats. Unlike other IoT …

Securing the Industrial Internet of Things against ransomware attacks: A comprehensive analysis of the emerging threat landscape and detection mechanisms

M Al-Hawawreh, M Alazab, MA Ferrag… - Journal of Network and …, 2023 - Elsevier
Due to the complexity and diversity of Industrial Internet of Things (IIoT) systems, which
include heterogeneous devices, legacy and new connectivity protocols and systems, and …

[HTML][HTML] A weighted minimum redundancy maximum relevance technique for ransomware early detection in industrial IoT

YA Ahmed, S Huda, BAS Al-rimy, N Alharbi, F Saeed… - Sustainability, 2022 - mdpi.com
Ransomware attacks against Industrial Internet of Things (IIoT) have catastrophic
consequences not only to the targeted infrastructure, but also the services provided to the …

Federated learning-assisted distributed intrusion detection using mesh satellite nets for autonomous vehicle protection

M Al-Hawawreh, MS Hossain - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The widespread use of intelligent consumer electronics, specifically autonomous vehicles,
has exponentially increased. The key enablers of this pervasive are the Internet of Things …

[HTML][HTML] Fldid: Federated learning enabled deep intrusion detection in smart manufacturing industries

P Verma, JG Breslin, D O'Shea - Sensors, 2022 - mdpi.com
The rapid development in manufacturing industries due to the introduction of IIoT devices
has led to the emergence of Industry 4.0 which results in an industry with intelligence …