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 …
[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 …
[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 …
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 analysis in IoT & android systems with defensive mechanism
CS Yadav, J Singh, A Yadav, HS Pattanayak, R Kumar… - Electronics, 2022 - mdpi.com
The Internet of Things (IoT) and the Android operating system have made cutting-edge
technology accessible to the general public. These are affordable, easy-to-use, and open …
technology accessible to the general public. These are affordable, easy-to-use, and open …
[HTML][HTML] Securing the Digital World: Protecting smart infrastructures and digital industries with Artificial Intelligence (AI)-enabled malware and intrusion detection
M Schmitt - Journal of Industrial Information Integration, 2023 - Elsevier
The last decades have been characterized by unprecedented technological advances,
many of them powered by modern technologies such as Artificial Intelligence (AI) and …
many of them powered by modern technologies such as Artificial Intelligence (AI) and …
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 …
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 …
Machine learning algorithm for malware detection: taxonomy, current challenges and future directions
Malware has emerged as a cyber security threat that continuously changes to target
computer systems, smart devices, and extensive networks with the development of …
computer systems, smart devices, and extensive networks with the development of …
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 …