From Image to Code

Author:

Gu Shangyu1,Cheng Shaoyin1,Zhang Weiming1

Affiliation:

1. Key Laboratory of Electromagnetic Space Information University of Science and Technology of China Hefei, China

Publisher

ACM

Reference35 articles.

1. https://source.android.google.cn/security/reports/Google_Android_Security_2017_Report_Final.pdf. https://source.android.google.cn/security/reports/Google_Android_Security_2017_Report_Final.pdf.

2. Adversarial Deep Learning for Robust Detection of Binary Encoded Malware

3. Malware clustering using image processing hashes

4. The security of machine learning

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1. Efficient android malware identification with limited training data utilizing multiple convolution neural network techniques;Engineering Applications of Artificial Intelligence;2024-01

2. Status and Outlook of Image-based Malware Detection Technology;2023 3rd International Symposium on Computer Technology and Information Science (ISCTIS);2023-07-07

3. Plain Source Code Obfuscation as an Effective Attack Method on IoT Malware Image Classification;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

4. EfficientNet deep learning meta-classifier approach for image-based android malware detection;Multimedia Tools and Applications;2022-12-14

5. A Deep Convolutional Neural Network Stacked Ensemble for Malware Threat Classification in Internet of Things;Journal of Circuits, Systems and Computers;2022-07-18

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