A survey on machine learning-based malware detection in executable files

J Singh, J Singh - Journal of Systems Architecture, 2021 - Elsevier
In last decade, a proliferation growth in the development of computer malware has been
done. Nowadays, cybercriminals (attacker) use malware as a weapon to carry out the …

Malware detection: issues and challenges

M Naseer, JF Rusdi, NM Shanono… - Journal of Physics …, 2021 - iopscience.iop.org
Malware is a severe threat that makes computer security more vulnerable. Many studies
have been conducted to improve the capability of detection techniques. However, there is a …

Visualization and deep-learning-based malware variant detection using OpCode-level features

A Darem, J Abawajy, A Makkar, A Alhashmi… - Future Generation …, 2021 - Elsevier
Malicious software (malware) is a major threat to the systems and networks' security.
Although anti-malware products are used to protect systems and networks against malware …

Towards a systematic description of the field using bibliometric analysis: malware evolution

SRT Mat, MF Ab Razak, MNM Kahar, JM Arif… - Scientometrics, 2021 - Springer
Malware is a blanket term for Trojan, viruses, spyware, worms, and other files that are
purposely created to harm computers, mobile devices, or computer networks. Malware …

Ensemble learning-based filter-centric hybrid feature selection framework for high-dimensional imbalanced data

J Kim, J Kang, M Sohn - Knowledge-Based Systems, 2021 - Elsevier
In recent years, research on feature selection for high-dimensional imbalanced data has
attracted a considerable amount of attention. The filter-wrapper hybrid method, which is a …

Detection of malware on the internet of things and its applications depends on long short-term memory network

K Priyadarsini, N Mishra, M Prasad, V Gupta… - Journal of Ambient …, 2021 - Springer
Abstract Internet of Things (IoT) is distressing this global with its creating implementations in
various pieces of growth, for instance, medicinal services, detecting, and far off checking …

A survey of intelligent techniques for Android malware detection

R Kumars, M Alazab, WY Wang - Malware Analysis Using Artificial …, 2021 - Springer
The revolution of smart devices such as smartphones, smart washing machines, smart cars
is increasing every year, as these devices are provided connected with the network and …

Collective intelligence: Decentralized learning for Android malware detection in IoT with blockchain

R Kumar, WY Wang, J Kumar, T Yang, W Ali - arXiv preprint arXiv …, 2021 - arxiv.org
The widespread significance of Android IoT devices is due to its flexibility and hardware
support features which revolutionized the digital world by introducing exciting applications …

Hybrid feature selection by combining wrapper and filter methods for malware detection

MA Alanazi, MM Siraj, FA Ghaleb - … International Conference on …, 2021 - ieeexplore.ieee.org
Malware is a program designed specifically to get into networks or systems of computer
included malicious action operations for bad intents such as steal data, encrypt files and …

Embedded system virtual simulation platform and political teaching in MOOC network information environment

X Shu - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
MOOC has completely open and free features. These features make it possible to use
MOOC without any restrictions and restrictions. Moreover, this platform can be opened to …