[HTML][HTML] Malware detection issues, challenges, and future directions: A survey

FA Aboaoja, A Zainal, FA Ghaleb, BAS Al-Rimy… - Applied Sciences, 2022 - mdpi.com
The evolution of recent malicious software with the rising use of digital services has
increased the probability of corrupting data, stealing information, or other cybercrimes by …

[HTML][HTML] Disarming visualization-based approaches in malware detection systems

LS Fascí, M Fisichella, G Lax, C Qian - Computers & Security, 2023 - Elsevier
Visualization-based approaches have recently been used in conjunction with signature-
based techniques to detect variants of malware files. Indeed, it is sufficient to modify some …

Toward an ensemble behavioral-based early evasive malware detection framework

FA Aboaoja, A Zainal, FA Ghaleb… - … Conference on Data …, 2021 - ieeexplore.ieee.org
Recently malware threats are evolved to be the most cyber security threats. Because of
obfuscation and evasion techniques, malware has become more sophisticated in terms of …

Malware detection issues, future trends and challenges: a survey

A AliAhmad, D Eleyan, A Eleyan… - 2023 International …, 2023 - ieeexplore.ieee.org
This paper focuses on the challenges and issues of detecting malware in to-day's world
where cyberattacks continue to grow in number and complexity. The paper reviews current …

Detection of msoffice-embedded malware: Feature mining and short-vs. long-term performance

S Viţel, M Lupaşcu, DT Gavriluţ, H Luchian - International Conference on …, 2022 - Springer
This paper presents a study on the detection performance of MSOffice-embedded malware;
the detection models were trained and tested using a very large database of malicious and …

Detection of Malware by Using YARA Rules

RH Mahdi, H Trabelsi - … on Systems, Signals & Devices (SSD), 2024 - ieeexplore.ieee.org
Malware's continuous advancement and increasing sophistication have made it the most
critical issue for the user, resulting in more significant innovation, increasing complexity, and …

[PDF][PDF] Machine Learning Approaches for Malware Classification based on Hybrid Artefacts

R Chanajitt - 2023 - researchcommons.waikato.ac.nz
Malware could be developed and transformed into various forms to deceive users and
evade antivirus and security endpoint detection. Furthermore, if one machine in the network …

[PDF][PDF] Disarming Visualization-based Approaches in Malware Detection Systems

LS Fascıa, M Fisichellab, G Laxa, C Qianb - researchgate.net
Visualization-based approaches have recently been used in conjunction with signature-
based techniques to detect variants of malware files. Indeed, it is sufficient to modify some …