Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques
In the internet and smart devices era, malware detection has become crucial for system security. Obfuscated malware poses significant risks to various platforms, including computers, mobile devices, and IoT devices, by evading advanced security solutions. Traditional heuristic-based and signature-ba...
Saved in:
| Main Authors: | Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Russian Academy of Sciences, St. Petersburg Federal Research Center
2025-01-01
|
| Series: | Информатика и автоматизация |
| Subjects: | |
| Online Access: | https://ia.spcras.ru/index.php/sp/article/view/16592 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Systematic Review: Malware Detection and Classification in Cybersecurity
by: Sebastian Berrios, et al.
Published: (2025-07-01) -
Is Malware Detection Needed for Android TV?
by: Gokhan Ozogur, et al.
Published: (2025-03-01) -
Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments
by: Muhammad Usama Tanveer, et al.
Published: (2025-01-01) -
A Review of the Recent Trends in Mobile Malware Evolution, Detection, and Analysis
by: Seetah Almarri, et al.
Published: (2025-01-01) -
A Survey on Android Malware Detection Techniques Using Supervised Machine Learning
by: Safa J. Altaha, et al.
Published: (2024-01-01)