Autoencoder-based Malware Analysis: An Imagery Analysis Approach to Enhance the Security of Smart City IoT
Smart Cities, the modern digital urban landscapes, are primarily facilitated by the Internet of
Things (IoT) infrastructures for information communication. Despite Smart Cities' benefits …
Things (IoT) infrastructures for information communication. Despite Smart Cities' benefits …
Image-based malware analysis for enhanced IoT security in smart cities
To develop safer smart city solutions, it is crucial to investigate new technologies for
malware analysis and detection to enhance existing malware prevention systems. Deep …
malware analysis and detection to enhance existing malware prevention systems. Deep …
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 deep convolutional neural network stacked ensemble for malware threat classification in internet of things
H Naeem, X Cheng, F Ullah, S Jabbar… - Journal of Circuits …, 2022 - World Scientific
Malicious attacks to software applications are on the rise as more people use Internet of
things (IoT) devices and high-speed internet. When a software system crash happens …
things (IoT) devices and high-speed internet. When a software system crash happens …
Lightweight classification of IoT malware based on image recognition
J Su, DV Vasconcellos, S Prasad… - 2018 IEEE 42Nd …, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) is an extension of the traditional Internet, which allows a very
large number of smart devices, such as home appliances, network cameras, sensors and …
large number of smart devices, such as home appliances, network cameras, sensors and …
Transfer learning for image-based malware detection for iot
P Panda, OK CU, S Marappan, S Ma, D Veesani Nandi - Sensors, 2023 - mdpi.com
The tremendous growth in online activity and the Internet of Things (IoT) led to an increase
in cyberattacks. Malware infiltrated at least one device in almost every household. Various …
in cyberattacks. Malware infiltrated at least one device in almost every household. Various …
VAE-GAN for Robust IoT Malware Detection and Classification in Intelligent Urban Environments: An Image Analysis Approach
Abstract The Internet of Things (IoT) has revolutionised technology in intelligent urban
environments. Meanwhile, security and privacy risks have emerged, including the presence …
environments. Meanwhile, security and privacy risks have emerged, including the presence …
IMCLNet: A lightweight deep neural network for Image-based Malware Classification
B Zou, C Cao, F Tao, L Wang - Journal of Information Security and …, 2022 - Elsevier
With the increasing number of malware and advanced evasion technology, it is more and
more difficult to detect malware accurately and efficiently. To solve this challenge, a feasible …
more difficult to detect malware accurately and efficiently. To solve this challenge, a feasible …
Static classification of IoT malware using grayscale image representation and lightweight convolutional neural networks
H Belguendouz, H Guerid… - 2022 5th International …, 2022 - ieeexplore.ieee.org
The widespread of the Internet of Things (IoT) has made it a good target for adversaries to
carry out sophisticated cyberattacks. A critical point has been reached in IoT security in 2016 …
carry out sophisticated cyberattacks. A critical point has been reached in IoT security in 2016 …
Image-based malware representation approach with EfficientNet convolutional neural networks for effective malware classification
The targeted malware attacks are usually created by few crime groups. They may essentially
use their existing malware sample malicious code to rebuild the variants for sophistication …
use their existing malware sample malicious code to rebuild the variants for sophistication …