Cyber-attack detection in healthcare using cyber-physical system and machine learning techniques

AA AlZubi, M Al-Maitah, A Alarifi - Soft Computing, 2021 - Springer
Cyber-physical systems have been extensively utilized in healthcare domains to deliver high-
quality patient treatment in multifaceted clinical scenarios. The medical device'heterogeneity …

Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach

L Gupta, T Salman, A Ghubaish, D Unal, AK Al-Ali… - Applied Soft …, 2022 - Elsevier
With the increase in sophistication and connectedness of the healthcare networks, their
attack surfaces and vulnerabilities increase significantly. Malicious agents threaten patients' …

Deep learning applications for real-time cybersecurity threat analysis in distributed cloud systems

S Dey, W Sarma, S Tiwari - World Journal of Advanced Research and …, 2023 - wjarr.co.in
The newest shift in operations known as distributed cloud systems have greatly advanced
the structure of digital environments by providing the ability to scale, be versatile, and cost …

Policy conflict detection approach for decision-making in intelligent industrial Internet of Things

PK Tripathy, M Shabaz, A Zaidi, I Keshta… - Computers and …, 2023 - Elsevier
Abstract Improving Industrial Internet of Things (IIOT), device flexibility and lowering
maintenance costs are significant problems. However, as the scale of the Intelligent …

Enhancing quality of experience in mobile edge computing using deep learning based data offloading and cyberattack detection technique

AM Hilal, MA Alohali, FN Al-Wesabi, N Nemri… - Cluster …, 2023 - Springer
Due to the advancements of high-speed networks, mobile edge computing (MEC) has
received significant attention to bring processing and storage resources in client's proximity …

Classification of botnet attacks in IoT using a convolutional neural network

AA Cunha, JB Borges, AAF Loureiro - … on QoS and security for wireless …, 2022 - dl.acm.org
Detecting malicious attacks on Internet of Things (IoT) devices is a current research trend
due to the rise of Botnet attacks across different IoT environments and the lack of …

Deep learning techniques in mobile edge computing for internet of medical things

A Alawadhi, RB Ahmad, A Almogahed… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
The fast expansion of the Internet of Medical Things (IoMT) has resulted in a ubiquitous
home health diagnostic network. High patient demand results in high costs, short latency …

[PDF][PDF] Hybrid Metaheuristics Feature Selection with Stacked Deep Learning-Enabled Cyber-Attack Detection Model.

MM Asiri, HG Mohamed, MK Nour… - … . Syst. Sci. Eng., 2023 - pdfs.semanticscholar.org
Due to exponential increase in smart resource limited devices and high speed
communication technologies, Internet of Things (IoT) have received significant attention in …

Artificial Intelligence Based Data Offloading Technique for Secure MEC Systems.

F Alrowais, AS Almasoud, R Marzouk… - Computers …, 2022 - search.ebscohost.com
Mobile edge computing (MEC) provides effective cloud services and functionality at the
edge device, to improve the quality of service (QoS) of end users by offloading the high …

Interference management and power scheduling in femtocell networks with the optimized power scheduling BiLSTM

SS Mohite, UD Kolekar, MJS Mulla, MS Bhakte… - Computers and …, 2024 - Elsevier
With the proliferation of femtocell networks, seamless hand-off, and efficient power
management are crucial for ensuring undisturbed connectivity and the optimal utilization of …