SynDroid: An adaptive enhanced Android malware classification method based on CTGAN-SVM-Reference-Cited by-同舟云学术

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SynDroid: An adaptive enhanced Android malware classification method based on CTGAN-SVM

Published:2024-02 Issue: Volume:137 Page:103604
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Li Junhao,He Junjiang,Li Wenshan,Fang Wenbo,Yang Geying,Li Tao

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference39 articles.

1. Droidapiminer: mining api-level features for robust malware detection in Android;Aafer,2013

2. Drebin: effective and explainable detection of Android malware in your pocket;Arp,2014

3. Detecting Android malware using sequences of system calls;Canfora,2015

4. Adversarial examples for cnn-based malware detectors;Chen;IEEE Access,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ANDROID MALWARE CLASSIFICATION USING BASIC MACHINE LEARNING METHODS;Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi;2024-08-31

2. Dynamic Ensemble Learning Framework Enhanced with XAI To Detect Android Malware;2024 International Conference on Intelligent Systems for Cybersecurity (ISCS);2024-05-03

3. TabLSTMNet: enhancing android malware classification through integrated attention and explainable AI;Microsystem Technologies;2024-03-14

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