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 …
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 …
DEMD-IoT: a deep ensemble model for IoT malware detection using CNNs and network traffic
Malware detection has recently emerged as a significant challenge on the Internet of Things
(IoT) security domain. Due to the increasing complexity and variety of malware, the demand …
(IoT) security domain. Due to the increasing complexity and variety of malware, the demand …
IoT malware classification based on lightweight convolutional neural networks
B Yuan, J Wang, P Wu, X Qing - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is hard to deploy adequate security defenses due to the diversity of
architectures as well as the limited computing and storage capabilities, which makes it more …
architectures as well as the limited computing and storage capabilities, which makes it more …
A Review on Machine Learning-based Malware Detection Techniques for Internet of Things (IoT) Environments
S Sasikala, S Janakiraman - Wireless Personal Communications, 2023 - Springer
Abstract Internet of Things (IoT) is the recent digital trend that connects the physical and
virtual world. The strong bonding between the people, objects, machines and the web are …
virtual world. The strong bonding between the people, objects, machines and the web are …
A hybrid DL-based detection mechanism for cyber threats in secure networks
The astonishing growth of sophisticated ever-evolving cyber threats and attacks throws the
entire Internet-of-Things (IoT) infrastructure into chaos. As the IoT belongs to the …
entire Internet-of-Things (IoT) infrastructure into chaos. As the IoT belongs to the …
[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 …
[HTML][HTML] MalInsight: A systematic profiling based malware detection framework
W Han, J Xue, Y Wang, Z Liu, Z Kong - Journal of Network and Computer …, 2019 - Elsevier
To handle the security threat faced by the widespread use of Internet of Things (IoT) devices
due to the ever-lasting increase of malware, the security researchers increasingly rely on …
due to the ever-lasting increase of malware, the security researchers increasingly rely on …
Harnessing the power and simplicity of decision trees to detect IoT Malware
Due to its simple installation and connectivity, the internet of things (IoT) is susceptible to
malware attacks. As IoT devices have become more prevalent, they have become the most …
malware attacks. As IoT devices have become more prevalent, they have become the most …
AI-empowered malware detection system for industrial internet of things
With the significant growth in Industrial Internet of Things (IIoT) technologies, various IIoT-
based applications have emerged in the last decade. In recent years, various malware …
based applications have emerged in the last decade. In recent years, various malware …