[HTML][HTML] Tools and Techniques for Collection and Analysis of Internet-of-Things malware: A systematic state-of-art review

S Madan, S Sofat, D Bansal - Journal of King Saud University-Computer …, 2022 - Elsevier
IoT devices which include wireless sensors, software, actuators, and computer devices
operated through the Internet, enable the transfer of data among objects or people …

Image-based malware classification using VGG19 network and spatial convolutional attention

MJ Awan, OA Masood, MA Mohammed, A Yasin… - Electronics, 2021 - mdpi.com
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …

A novel framework for image-based malware detection with a deep neural network

Y Jian, H Kuang, C Ren, Z Ma, H Wang - Computers & Security, 2021 - Elsevier
The rapid growth in the number of malware and its variants has seriously affected the
security of the Internet. In recent years, deep learning combined with visualization …

A novel malware classification and augmentation model based on convolutional neural network

A Tekerek, MM Yapici - Computers & Security, 2022 - Elsevier
The rapid development and widespread use of the Internet have led to an increase in the
number and variety of malware proliferating via the Internet. Malware is the general …

Mitigating the risks of malware attacks with deep Learning techniques

AM Alnajim, S Habib, M Islam, R Albelaihi… - Electronics, 2023 - mdpi.com
Malware has become increasingly prevalent in recent years, endangering people,
businesses, and digital assets worldwide. Despite the numerous techniques and …

Optimized and efficient image-based IoT malware detection method

A El-Ghamry, T Gaber, KK Mohammed, AE Hassanien - Electronics, 2023 - mdpi.com
With the widespread use of IoT applications, malware has become a difficult and
sophisticated threat. Without robust security measures, a massive volume of confidential and …

IIoT malware detection using edge computing and deep learning for cybersecurity in smart factories

H Kim, K Lee - Applied Sciences, 2022 - mdpi.com
The smart factory environment has been transformed into an Industrial Internet of Things
(IIoT) environment, which is an interconnected and open approach. This has made smart …

Bhmdc: A byte and hex n-gram based malware detection and classification method

Y Tang, X Qi, J Jing, C Liu, W Dong - Computers & Security, 2023 - Elsevier
In recent years, malware and their variants have proliferated, which poses a grave threat to
the systems and networks' security, so it is urgent to detect and classify malware in time to …

ResNeXt+: Attention mechanisms based on ResNeXt for malware detection and classification

Y He, X Kang, Q Yan, E Li - IEEE Transactions on Information …, 2023 - ieeexplore.ieee.org
Malware detection and classification are crucial for protecting digital devices and information
systems. Accurate identification of malware enables researchers and incident responders to …

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 …