Fileless malware threats: Recent advances, analysis approach through memory forensics and research challenges

I Kara - Expert Systems with Applications, 2023 - Elsevier
The rapid advancements in cyber-attack strategies are in parallel with the measures for
detection, analysis, and prevention. Attackers have recently developed fileless malware that …

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 …

The evolution of volatile memory forensics

H Nyholm, K Monteith, S Lyles, M Gallegos… - … of Cybersecurity and …, 2022 - mdpi.com
The collection and analysis of volatile memory is a vibrant area of research in the
cybersecurity community. The ever-evolving and growing threat landscape is trending …

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 …

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 …

[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 …

Automated malware detection using artifacts in forensic memory images

R Mosli, R Li, B Yuan, Y Pan - 2016 IEEE Symposium on …, 2016 - ieeexplore.ieee.org
Malware is one of the greatest and most rapidly growing threats to the digital world.
Traditional signature-based detection is no longer adequate to detect new variants and …

Volmemlyzer: Volatile memory analyzer for malware classification using feature engineering

AH Lashkari, B Li, TL Carrier… - 2021 Reconciling Data …, 2021 - ieeexplore.ieee.org
Memory forensics is a fundamental step that inspects malicious activities during live
malware infection. Memory analysis not only captures malware footprints but also collects …

A behavior-based approach for malware detection

R Mosli, R Li, B Yuan, Y Pan - Advances in Digital Forensics XIII: 13th IFIP …, 2017 - Springer
Malware is the fastest growing threat to information technology systems. Although a single
absolute solution for defeating malware is improbable, a stacked arsenal against malicious …