[HTML][HTML] Enhancing Smart IoT Malware Detection: A GhostNet-based Hybrid Approach
AA Almazroi, N Ayub - Systems, 2023 - mdpi.com
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 …
[HTML][HTML] A novel detection and multi-classification approach for IoT-malware using random forest voting of fine-tuning convolutional neural networks
The Internet of Things (IoT) is prone to malware assaults due to its simple installation and
autonomous operating qualities. IoT devices have become the most tempting targets of …
autonomous operating qualities. IoT devices have become the most tempting targets of …
[PDF][PDF] IOT-MDEDTL: IoT Malware Detection based on Ensemble Deep Transfer Learning
QK Kadhim, AQAS Al-Sudani, IA Almani… - Majlesi Journal of …, 2022 - journals.iau.ir
The internet of Things (IoT) is a promising expansion of the traditional Internet, which
provides the foundation for millions of devices to interact with each other. IoT enables these …
provides the foundation for millions of devices to interact with each other. IoT enables these …
[HTML][HTML] A new deep boosted CNN and ensemble learning based IoT malware detection
Security issues are threatened in various types of networks, especially in the Internet of
Things (IoT) environment that requires early detection. IoT is the network of real-time devices …
Things (IoT) environment that requires early detection. IoT is the network of real-time devices …
Deep learning based malware detection for IoT devices
N Naveen, MA Safwan, TG Manoj Nayaka… - … 2020: Proceedings of …, 2022 - Springer
Abstract Internet of Things (IoT) in military environment for the most part comprises of a
different scope of Internet-associated gadgets and hubs (for example clinical gadgets to …
different scope of Internet-associated gadgets and hubs (for example clinical gadgets to …
Survey on Recent Malware Detection Techniques for IoT
Malware has been growing at a rapid rate in recent times, and studying detection techniques
has become a vital step. There are a varieties of malware each of which has its intended …
has become a vital step. There are a varieties of malware each of which has its intended …
Efficient and lightweight convolutional networks for IoT malware detection: A federated learning approach
Over the past few years, billions of unsecured Internet of Things (IoT) devices have been
produced and released, and that number will only grow as wireless technology advances …
produced and released, and that number will only grow as wireless technology advances …
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 …
A novel autoencoder based feature independent GA optimised XGBoost classifier for IoMT malware detection
Abstract The Internet of Medical Things (IoMT) has a network of interconnected medical
devices to capture patients' health metrics and store them in a centralized server for analysis …
devices to capture patients' health metrics and store them in a centralized server for analysis …
[HTML][HTML] Malware detection in internet of things (IoT) devices using deep learning
Internet of Things (IoT) devices usage is increasing exponentially with the spread of the
internet. With the increasing capacity of data on IoT devices, these devices are becoming …
internet. With the increasing capacity of data on IoT devices, these devices are becoming …