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 growth of Advanced Persistent Threats (APTs) that make use of advance and sophisticated malware. With the wide availability...
Saved in:
Main Authors: | Shah S.S.H., Ahmad A.R., Jamil N., Khan A.U.R. |
---|---|
Other Authors: | 57878344500 |
Format: | Article |
Published: |
MDPI
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Memory Visualization-Based Malware Detection Technique
by: Shah S.S.H., et al.
Published: (2023) -
Performance comparison of visualization-based malware detection and classification techniques
by: Shah S.S.H., et al.
Published: (2023) -
Malware detection through machine learning techniques
by: Amer, Ahmed, et al.
Published: (2019) -
Metamorphic malware detection using machine learning
by: Ahmed Ali, Mohammed Hasan Ali
Published: (2020) -
Detecting Malware with Classification Machine Learning Techniques
by: Mohd Yusof, Mohd Azahari, et al.
Published: (2023)