A Multi-modality Feature Fusion Method for Android Malware Detection

Author:

Song Jiahao1ORCID,Li Runzhi2ORCID,Zhang Zijiao2ORCID

Affiliation:

1. School of Cyberspace Security, Zhengzhou University, China

2. Network Center, Zhengzhou University, China

Publisher

ACM

Reference20 articles.

1. Kaspersky. Mobile malware evolution 2020[EB/OL]. https://securelist.com/mobile-malware_x0002_evolution-2020/101029. Kaspersky. Mobile malware evolution 2020[EB/OL]. https://securelist.com/mobile-malware_x0002_evolution-2020/101029.

2. Daoudi N , Samhi J , Kabore A K , Dexray : a simple, yet effective deep learning approach to android malware detection based on image representation of bytecode[C]//Deployable Machine Learning for Security Defense: Second International Workshop , MLHat 2021 , Virtual Event, August 15, 2021, Proceedings 2. Springer International Publishing , 2021: 81-106. Daoudi N, Samhi J, Kabore A K, Dexray: a simple, yet effective deep learning approach to android malware detection based on image representation of bytecode[C]//Deployable Machine Learning for Security Defense: Second International Workshop, MLHat 2021, Virtual Event, August 15, 2021, Proceedings 2. Springer International Publishing, 2021: 81-106.

3. Vinayaka K V , Jaidhar C D . Android malware detection using function call graph with graph convolutional networks[C]//2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC) . IEEE , 2021 : 279-287. Vinayaka K V, Jaidhar C D. Android malware detection using function call graph with graph convolutional networks[C]//2021 2nd International Conference on Secure Cyber Computing and Communications (ICSCCC). IEEE, 2021: 279-287.

4. A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

5. Amos B , Turner H , White J. Applying machine learning classifiers to dynamic android malware detection at scale[C]. 2013 9th international wireless communications and mobile computing conference , 2013 : 1666-1671. Amos B, Turner H, White J. Applying machine learning classifiers to dynamic android malware detection at scale[C]. 2013 9th international wireless communications and mobile computing conference, 2013: 1666-1671.

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