XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks
Abstract The Internet of Medical Things (IoMT) is increasingly replacing the traditional
healthcare systems. However, less focus has been paid to their security against cyber …
healthcare systems. However, less focus has been paid to their security against cyber …
A GRU deep learning system against attacks in software defined networks
The management of modern network environments is becoming more and more complex
due to new requirements of devices' heterogeneity regarding the popularization of the …
due to new requirements of devices' heterogeneity regarding the popularization of the …
Enhancing IIoT networks protection: A robust security model for attack detection in Internet Industrial Control Systems
Abstract Industrial Internet of Things (IIoT) networks involves heterogeneous technological
and manufacturing services and devices. The communication and data exchange …
and manufacturing services and devices. The communication and data exchange …
An enhanced multi-stage deep learning framework for detecting malicious activities from autonomous vehicles
Intelligent Transportation Systems (ITS), particularly Autonomous Vehicles (AVs), are
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
susceptible to safety and security concerns that impend people's lives. Nothing like manually …
Dew-cloud-based hierarchical federated learning for intrusion detection in IoMT
The coronavirus pandemic has overburdened medical institutions, forcing physicians to
diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more …
diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more …
A new explainable deep learning framework for cyber threat discovery in industrial IoT networks
Industrial Internet of Things (IIoT) and Industry 4.0 empower interrelation among
manufacturing processes, industrial machines, and utility services. The time-critical data …
manufacturing processes, industrial machines, and utility services. The time-critical data …
[PDF][PDF] Detection of cyberattacks using bidirectional generative adversarial network
R Vallabhaneni, SA Vaddadi, S Pillai… - Indonesian Journal of …, 2024 - academia.edu
Due to the progress of communication technologies, diverse information is transmitted in
distributed systems via a network model. Concurrently, with the evolution of communication …
distributed systems via a network model. Concurrently, with the evolution of communication …
A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks
Abstract Contemporary Smart Power Systems (SPNs) depend on Cyber-Physical Systems
(CPSs) to connect physical devices and control tools. Develo** a robust privacy …
(CPSs) to connect physical devices and control tools. Develo** a robust privacy …
DFF-SC4N: A deep federated defence framework for protecting supply chain 4.0 networks
The management of contemporary communication networks of supply chain (SC) 4.0 is
becoming more complex due to the heterogeneity requirements of new devices concerning …
becoming more complex due to the heterogeneity requirements of new devices concerning …
A DDoS Attack Detection Method Based on Natural Selection of Features and Models
R Ma, X Chen, R Zhai - Electronics, 2023 - mdpi.com
Distributed Denial of Service (DDoS) is still one of the main threats to network security today.
Attackers are able to run DDoS in simple steps and with high efficiency to slow down or …
Attackers are able to run DDoS in simple steps and with high efficiency to slow down or …