Crypto-ransomware: A revision of the state of the art, advances and challenges

JA Gómez Hernández, P García Teodoro… - Electronics, 2023 - mdpi.com
According to the premise that the first step to try to solve a problem is to deepen our
knowledge of it as much as possible, this work is mainly aimed at diving into and …

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 …

Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification

H Naeem, S Dong, OJ Falana, F Ullah - Expert Systems with Applications, 2023 - Elsevier
Malware has become more complicated in its purpose and abilities over time, demanding
continuous progress in detection and defense technologies. Malware designers use anti …

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 Using The Machine Learning Based Modified Partial Swarm Optimization Approach

S Sivakumar, S Saminathan, R Ranjana… - 2023 International …, 2023 - ieeexplore.ieee.org
Malware analysis includes a crucial step after malware detection called malware
categorization, which classifies dangerous files. There have been many reported static and …

[HTML][HTML] MeMalDet: A memory analysis-based malware detection framework using deep autoencoders and stacked ensemble under temporal evaluations

P Maniriho, AN Mahmood, MJM Chowdhury - Computers & Security, 2024 - Elsevier
Malware attacks continue to evolve, making detection challenging for traditional static and
dynamic analysis techniques. On the other hand, memory analysis provides valuable …

[HTML][HTML] volGPT: Evaluation on triaging ransomware process in memory forensics with Large Language Model

DB Oh, D Kim, HK Kim - Forensic Science International: Digital …, 2024 - Elsevier
In the face of the harm that ransomware can inflict upon users' computers, the imperative to
efficiently and accurately triage its processes within memory forensics becomes increasingly …

Future aspects of modern forensic tools and devices

S Satish, G Phadke, D Rawtani - Modern Forensic Tools and …, 2023 - Wiley Online Library
Forensic science is the backbone of the criminal justice system globally. The essence of the
scientific methodologies used in it aims to help the investigators in comprehensively and …

Entropy and memory forensics in ransomware analysis: Utilizing llama-7b for advanced pattern recognition

W Zhang, X Li, T Zhu - Authorea Preprints, 2023 - techrxiv.org
This study investigated the utilization of memory forensics and the Large Language Model
LLaMA-7B for the purpose of detecting and analyzing contemporary ransomware. It …

The Influence of Virtual Secure Mode (VSM) on Memory Acquisition

NDW Cahyani, EM Jadied… - International …, 2022 - search.proquest.com
Abstract Recently, acquiring the Random Access Memory (RAM) full memory and access
data is gaining significant interest in digital forensics. However, a security feature on the …