Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection

Author:

Wang Wei,Wang Xing,Feng Dawei,Liu Jiqiang,Han Zhen,Zhang Xiangliang

Funder

Ph.D. Programs Foundation, Ministry of Education of China

Fundamental Research Funds through the Central Universities of China

Scientific Research Foundation through the Returned Overseas Chinese Scholars, Ministry of Education of China

Program for New Century Excellent Talents in University

Program for Changjiang Scholars and Innovative Research Team in University

111 Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

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2. Empowering Digital Resilience: SVM Kernel Comparison for Malware Classification to Enhance Security;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

3. Malware Classification to Strengthening Digital Resilience: Comparing SVM Kernel and Logistic Regression;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

4. PermDroid a framework developed using proposed feature selection approach and machine learning techniques for Android malware detection;Scientific Reports;2024-05-10

5. Multimodal Neural Network Based Malware Detection for Android;2024 2nd International Conference On Mobile Internet, Cloud Computing and Information Security (MICCIS);2024-04-19

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