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 …

A survey of crypto ransomware attack detection methodologies: an evolving outlook

A Alqahtani, FT Sheldon - Sensors, 2022 - mdpi.com
Recently, ransomware attacks have been among the major threats that target a wide range
of Internet and mobile users throughout the world, especially critical cyber physical systems …

Explainable artificial intelligence in cybersecurity: A survey

N Capuano, G Fenza, V Loia, C Stanzione - Ieee Access, 2022 - ieeexplore.ieee.org
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Intelligent vision-based malware detection and classification using deep random forest paradigm

SA Roseline, S Geetha, S Kadry, Y Nam - IEEE Access, 2020 - ieeexplore.ieee.org
Malware is a rapidly increasing menace to modern computing. Malware authors continually
incorporate various sophisticated features like code obfuscations to create malware variants …

[PDF][PDF] Ransomware, threat and detection techniques: A review

S Kok, A Abdullah, N Jhanjhi… - Int. J. Comput. Sci. Netw …, 2019 - academia.edu
The popularity of ransomware has created a unique ecosystem of cybercriminals. Therefore,
the objectives of this paper are to provide a thorough understanding of ransomware's threat …

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 …

Evaluation metric for crypto-ransomware detection using machine learning

SH Kok, A Azween, NZ Jhanjhi - Journal of Information Security and …, 2020 - Elsevier
Ransomware is a type of malware that blocks access to its victim's resources until a ransom
is paid. Crypto-ransomware is a type of ransomware that blocks access to its victim's files by …

A study on malicious software behaviour analysis and detection techniques: Taxonomy, current trends and challenges

P Maniriho, AN Mahmood, MJM Chowdhury - Future Generation Computer …, 2022 - Elsevier
There has been an increasing trend of malware release, which raises the alarm for security
professionals worldwide. It is often challenging to stay on top of different types of malware …

[HTML][HTML] A systematic literature review on windows malware detection: Techniques, research issues, and future directions

P Maniriho, AN Mahmood, MJM Chowdhury - Journal of Systems and …, 2024 - Elsevier
The aim of this systematic literature review (SLR) is to provide a comprehensive overview of
the current state of Windows malware detection techniques, research issues, and future …

Android malware detection method based on bytecode image

Y Ding, X Zhang, J Hu, W Xu - Journal of Ambient Intelligence and …, 2023 - Springer
Traditional machine learning based malware detection methods often use decompiling
techniques or dynamic monitoring techniques to extract the feature representation of …