Android Malware Detection Based on Grammatical Evaluation Algorithm and XGBoost
Author:
Affiliation:
1. University of Kufa,Department of Computer Science,Najaf,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10217216/10217846/10217965.pdf?arnumber=10217965
Reference25 articles.
1. Evolving trees for detecting android malware using evolutionary learning;waheed;International Journal of Nonlinear Analysis and Applications,2023
2. Detection of Android Malware using Tree-based Ensemble Stacking Model
3. Android Malware Detection Using Hybrid Meta-heuristic Feature Selection and Ensemble Learning Techniques
4. Android Malware Classification Using Optimized Ensemble Learning Based on Genetic Algorithms
5. Android malware detection using feature selection with hybrid genetic algorithm and simulated annealing;meimandi;Proceedings of the 2020 IEEE 5th Conference on Technology In Electrical and Computer Engineering (ETECH 2020) Information and Communication Technology (ICT),2020
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1. Dynamic Ensemble Learning Framework Enhanced with XAI To Detect Android Malware;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03
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