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 …
detection, analysis, and prevention. Attackers have recently developed fileless malware that …
Malware detection using memory analysis data in big data environment
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 …
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 …
cybersecurity community. The ever-evolving and growing threat landscape is trending …
Malware detection approach based on artifacts in memory image and dynamic analysis
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 …
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
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 …
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
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 …
individual users, corporations, banks, and government agencies. This can be seen from the …
[PDF][PDF] An Effective Memory Analysis for Malware Detection and Classification.
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 …
researchers for the purpose of reducing malware risks. Most of the investigating experiments …
Automated malware detection using artifacts in forensic memory images
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 …
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 …
malware infection. Memory analysis not only captures malware footprints but also collects …
A behavior-based approach for malware detection
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 …
absolute solution for defeating malware is improbable, a stacked arsenal against malicious …