Advanced deep learning models for 6G: overview, opportunities and challenges
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …
heightened demand for advanced network intelligence to tackle the challenges of an …
[HTML][HTML] A novel ensemble method for enhancing Internet of Things device security against botnet attacks
The growing number of connected Internet of Things (IoT) devices has led to the daily
growth of network botnet attacks. The networks of compromised devices controlled by a …
growth of network botnet attacks. The networks of compromised devices controlled by a …
[HTML][HTML] A lightweight SEL for attack detection in IoT/IIoT networks
SA Abdulkareem, CH Foh, F Carrez… - Journal of Network and …, 2024 - Elsevier
Intrusion detection systems (IDSs) that continuously monitor data flow and take swift action
when attacks are identified safeguard networks. Conventional IDS exhibit limitations, such …
when attacks are identified safeguard networks. Conventional IDS exhibit limitations, such …
AI Enabled Threat Detection: Leveraging Artificial Intelligence for Advanced Security and Cyber Threat Mitigation
D Kavitha, S Thejas - IEEE Access, 2024 - ieeexplore.ieee.org
This comprehensive review examines the role of artificial intelligence (AI) in enhancing
threat detection and cybersecurity, focusing on recent advancements and ongoing …
threat detection and cybersecurity, focusing on recent advancements and ongoing …
SIM-FED: Secure IoT malware detection model with federated learning
Many IoT devices are presently in use without sufficient security measures. The vulnerability
of these devices to malware highlights the necessity for effective methods to identify …
of these devices to malware highlights the necessity for effective methods to identify …
Intrusion Detection System for Smart Industrial Environments with Ensemble Feature Selection and Deep Convolutional Neural Networks.
A Raza, S Memon, MA Nizamani… - … Automation & Soft …, 2024 - search.ebscohost.com
Smart Industrial environments use the Industrial Internet of Things (IIoT) for their routine
operations and transform their industrial operations with intelligent and driven approaches …
operations and transform their industrial operations with intelligent and driven approaches …
A deep learning ensemble approach for malware detection in Internet of Things utilizing Explainable Artificial Intelligence
Abstract The Internet of Things (IoT) has been popularized these days due to digitization and
automation. It is deployed in various applications, ie, smart homes, smart agriculture, smart …
automation. It is deployed in various applications, ie, smart homes, smart agriculture, smart …
Synchronizing adaptive LFAs defense in AIoT using hybrid Spatial–Temporal Graph model with programmable data plane, SDN
J Ma, W Su - Expert Systems with Applications, 2025 - Elsevier
The massive number of edge-connected IoT devices currently in SD-AIoT can be
weaponized to launch the Link Flooding Attack, a novel Distributed Denial of Service attack …
weaponized to launch the Link Flooding Attack, a novel Distributed Denial of Service attack …
An Adaptive Intrusion Detection System for Evolving IoT Threats: An Autoencoder-FNN Fusion
JJ Shirley, M Priya - IEEE Access, 2025 - ieeexplore.ieee.org
The increasing number of sophisticated attacks targeting the Internet of Things environment
highlights the critical importance of a strong intrusion detection system. This study proposes …
highlights the critical importance of a strong intrusion detection system. This study proposes …
Malicious data classification in packet data network through hybrid meta deep learning
SU Tapu, SAA Shopnil, RB Tamanna… - IEEE …, 2023 - ieeexplore.ieee.org
Advancements in wireless network technology have provided a powerful tool to boost
productivity and serve as a vital communication method that overcomes the limitations of …
productivity and serve as a vital communication method that overcomes the limitations of …