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 …

[PDF][PDF] A survey on malware analysis techniques: Static, dynamic, hybrid and memory analysis

R Sihwail, K Omar, KAZ Ariffin - Int. J. Adv. Sci. Eng. Inf. Technol, 2018 - core.ac.uk
The threats malware pose to the people around the world are increasing rapidly. A software
that sneaks to your computer system without your knowledge with a harmful intent to disrupt …

Automated behavioral analysis of malware: A case study of wannacry ransomware

Q Chen, RA Bridges - 2017 16th IEEE International Conference …, 2017 - ieeexplore.ieee.org
Ransomware, a class of self-propagating malware that uses encryption to hold the victims'
data ransom, has emerged in recent years as one of the most dangerous cyber threats, with …

Malware detection using memory analysis data in big data environment

M Dener, G Ok, A Orman - Applied Sciences, 2022 - mdpi.com
Malware is a significant threat that has grown with the spread of technology. This makes
detecting malware a critical issue. Static and dynamic methods are widely used in the …

Malware detection approach based on artifacts in memory image and dynamic analysis

R Sihwail, K Omar, KA Zainol Ariffin, S Al Afghani - Applied Sciences, 2019 - mdpi.com
The need to detect malware before it harms computers, mobile phones and other electronic
devices has caught the attention of researchers and the anti-malware industry for many …

[HTML][HTML] MalHyStack: a hybrid stacked ensemble learning framework with feature engineering schemes for obfuscated malware analysis

KS Roy, T Ahmed, PB Udas, ME Karim… - Intelligent Systems with …, 2023 - Elsevier
Since the advent of malware, it has reached a toll in this world that exchanges billions of
data daily. Millions of people are victims of it, and the numbers are not decreasing as the …

[HTML][HTML] A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response

D Dunsin, MC Ghanem, K Ouazzane… - Forensic Science …, 2024 - Elsevier
In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and
Machine Learning (ML) stands as a transformative technology, poised to amplify the …

Memory forensics-based malware detection using computer vision and machine learning

SSH Shah, AR Ahmad, N Jamil, AR Khan - Electronics, 2022 - mdpi.com
Malware has recently grown exponentially in recent years and poses a serious threat to
individual users, corporations, banks, and government agencies. This can be seen from the …

The dynamic analysis of WannaCry ransomware

DY Kao, SC Hsiao - 2018 20th International conference on …, 2018 - ieeexplore.ieee.org
The global ransomware cyberattacks cripples the national hospital system across the United
Kingdom, and causes waves of appointments and operations to be cancelled. Similar …

[PDF][PDF] An Effective Memory Analysis for Malware Detection and Classification.

R Sihwail, K Omar, KAZ Arifin - Computers, Materials & Continua, 2021 - cdn.techscience.cn
The study of malware behaviors, over the last years, has received tremendous attention from
researchers for the purpose of reducing malware risks. Most of the investigating experiments …