[HTML][HTML] Ensemble stacking model for sentiment analysis of Emirati and Arabic dialects
Sentiment analysis is the process of examining people's opinions and emotions towards
goods, services, organizations, individuals, and other things, through the use of textual data …
goods, services, organizations, individuals, and other things, through the use of textual data …
[HTML][HTML] Towards Securing Smart Homes: A Systematic Literature Review of Malware Detection Techniques and Recommended Prevention Approach
The exponential growth of the Internet of Things (IoT) sector has resulted in a surge of
interconnected gadgets in smart households, thus exposing them to new cyber-attack …
interconnected gadgets in smart households, thus exposing them to new cyber-attack …
Multi-branch deep learning framework for land scene classification in satellite imagery
SD Khan, S Basalamah - Remote Sensing, 2023 - mdpi.com
Land scene classification in satellite imagery has a wide range of applications in remote
surveillance, environment monitoring, remote scene analysis, Earth observations and urban …
surveillance, environment monitoring, remote scene analysis, Earth observations and urban …
FedMicro-IDA: A federated learning and microservices-based framework for IoT data analytics
Abstract The Internet of Things (IoT) has recently proliferated in both size and complexity.
Using multi-source and heterogeneous IoT data aids in providing efficient data analytics for …
Using multi-source and heterogeneous IoT data aids in providing efficient data analytics for …
A Metamodeling Approach for IoT Forensic Investigation
The Internet of Things (IoT) Investigation of Forensics (IoTFI) is one of the subdomains of
Digital Forensics that aims to record and evaluate incidents involving the Internet of Things …
Digital Forensics that aims to record and evaluate incidents involving the Internet of Things …
Performance evaluation of CNN and pre-trained models for malware classification
In recent years, with the technological evolution that the world of IT has known, there are
billions of devices connected via the internet and exchange immense amount of data. This …
billions of devices connected via the internet and exchange immense amount of data. This …
[HTML][HTML] Using 3D-VGG-16 and 3D-Resnet-18 deep learning models and FABEMD techniques in the detection of malware
W Al-Khater, S Al-Madeed - Alexandria Engineering Journal, 2024 - Elsevier
Currently, the detection of malware to prevent cybersecurity breaches is a raising a concern
for millions of people around the globe. Even with the most recent updates, antivirus …
for millions of people around the globe. Even with the most recent updates, antivirus …
[HTML][HTML] Enhancing smart IoT malware detection: A GhostNet-based hybrid approach
The Internet of Things (IoT) constitutes the foundation of a deeply interconnected society in
which objects communicate through the Internet. This innovation, coupled with 5G and …
which objects communicate through the Internet. This innovation, coupled with 5G and …
A multifaceted deep generative adversarial networks model for mobile malware detection
F Mazaed Alotaibi, Fawad - Applied Sciences, 2022 - mdpi.com
Malware's structural transformation to withstand the detection frameworks encourages
hackers to steal the public's confidential content. Researchers are develo** a protective …
hackers to steal the public's confidential content. Researchers are develo** a protective …
Deep learning in the detection of disinformation about COVID-19 in online space
K Machová, M Mach, M Porezaný - Sensors, 2022 - mdpi.com
This article focuses on the problem of detecting disinformation about COVID-19 in online
discussions. As the Internet expands, so does the amount of content on it. In addition to …
discussions. As the Internet expands, so does the amount of content on it. In addition to …