Survey of machine learning techniques for malware analysis

D Ucci, L Aniello, R Baldoni - Computers & Security, 2019 - Elsevier
Coping with malware is getting more and more challenging, given their relentless growth in
complexity and volume. One of the most common approaches in literature is using machine …

A survey of the recent trends in deep learning based malware detection

UH Tayyab, FB Khan, MH Durad, A Khan… - Journal of Cybersecurity …, 2022 - mdpi.com
Monitoring Indicators of Compromise (IOC) leads to malware detection for identifying
malicious activity. Malicious activities potentially lead to a system breach or data …

Malware classification and composition analysis: A survey of recent developments

A Abusitta, MQ Li, BCM Fung - Journal of Information Security and …, 2021 - Elsevier
Malware detection and classification are becoming more and more challenging, given the
complexity of malware design and the recent advancement of communication and …

A systematic review on intrusion detection based on the Hidden Markov Model

A Ahmadian Ramaki, A Rasoolzadegan… - … Analysis and Data …, 2018 - Wiley Online Library
Apart from using traditional security solutions in software systems such as firewalls and
access control mechanisms, utilizing intrusion detection systems are also necessary …

Mdfrcnn: Malware detection using faster region proposals convolution neural network

M Deore, U Kulkarni - 2022 - reunir.unir.net
Technological advancement of smart devices has opened up a new trend: Internet of
Everything (IoE), where all devices are connected to the web. Large scale networking …

Malware resistant data protection in hyper-connected networks: A survey

J Ferdous, R Islam, M Bhattacharya… - arXiv preprint arXiv …, 2023 - arxiv.org
Data protection is the process of securing sensitive information from being corrupted,
compromised, or lost. A hyperconnected network, on the other hand, is a computer …

Computer network virus defense with data mining-based active protection

X Li, Y Li, H He - Scalable Computing: Practice and Experience, 2024 - scpe.org
A novel approach is presented in this paper to address the limitations of virtual machine
technology, active kernel technology, heuristic killing technology, and behaviour killing …

An advanced profile hidden Markov model for malware detection

AA Alipour, E Ansari - Intelligent Data Analysis, 2020 - content.iospress.com
The rapid growth of malicious software (malware) production in recent decades and the
increasing number of threats posed by malware to network environments, such as the …

The state of the malware: What can we defend against?

CA Visaggio - Monitoring and Protection of Critical Infrastructure …, 2023 - ebooks.iospress.nl
The number of malware is increasingly growing and they become more and more
sophisticated. This is a sign that malware is nowadays a real industry, with investments …

Classification of computer viruses from binary code using ensemble classifier and recursive feature elimination

P Usaphapanus, K Piromsopa - 2017 Twelfth International …, 2017 - ieeexplore.ieee.org
This paper proposes a supervised machine learning model for detecting (unseen) viruses
files. Our main focus is on static analysis approach. To find the best method, we experiment …