Dynamic analysis for IoT malware detection with convolution neural network model
Internet of Things (IoT) technology provides the basic infrastructure for a hyper connected
society where all things are connected and exchange information through the Internet. IoT …
society where all things are connected and exchange information through the Internet. IoT …
Deep learning based cross architecture internet of things malware detection and classification
The number of publicly exposed Internet of Things (IoT) devices has been increasing, as
more number of these devices connected to the internet with default settings. The devices …
more number of these devices connected to the internet with default settings. The devices …
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 …
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 …
[PDF][PDF] Two-stage hybrid malware detection using deep learning
With the increasing number and variety of Internet of Things (IoT) devices supporting a wide
range of services such as smart homes, smart transportation, and smart factories in smart …
range of services such as smart homes, smart transportation, and smart factories in smart …
IoT malware detection architecture using a novel channel boosted and squeezed CNN
Interaction between devices, people, and the Internet has given birth to a new digital
communication model, the internet of things (IoT). The integration of smart devices to …
communication model, the internet of things (IoT). The integration of smart devices to …
[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 …
Hybrid malware detection based on Bi-LSTM and SPP-Net for smart IoT
In this article, we propose the hybrid malware detection scheme, HyMalD, with bidirectional
long short-term memory (Bi-LSTM) and the spatial pyramid pooling network (SPP-Net). Its …
long short-term memory (Bi-LSTM) and the spatial pyramid pooling network (SPP-Net). Its …
A deep recurrent neural network based approach for internet of things malware threat hunting
Abstract Internet of Things (IoT) devices are increasingly deployed in different industries and
for different purposes (eg sensing/collecting of environmental data in both civilian and …
for different purposes (eg sensing/collecting of environmental data in both civilian and …
A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …
academics' and business information systems' attention in recent years. The Internet of …