Malware detection issues, challenges, and future directions: A survey
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 …
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
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 …
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 …
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
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 …
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 …
[HTML][HTML] A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response
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 …
Machine Learning (ML) stands as a transformative technology, poised to amplify 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 …
The dynamic analysis of WannaCry ransomware
The global ransomware cyberattacks cripples the national hospital system across the United
Kingdom, and causes waves of appointments and operations to be cancelled. Similar …
Kingdom, and causes waves of appointments and operations to be cancelled. Similar …
[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 …