Byte-Level Function-Associated Method for Malware Detection-Reference-Cited by-同舟云学术

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Byte-Level Function-Associated Method for Malware Detection

Published:2023 Issue:1 Volume:46 Page:719-734
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Hao Jingwei,Luo Senlin,Pan Limin

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v46n1/51313/pdf

Reference15 articles.

1. A multimodal deep learning method for android malware detection using various features;TaeGuen;IEEE Transactions on Information Forensics and Security,2018

2. A comprehensive survey on machine learning techniques for android malware detection;Vasileios;Information,2021

3. APTMalInsight: Identify and cognize APT malware based on system call information and ontology knowledge framework;Han;Information Sciences,2021

4. Learning features from enhanced function call graphs for android malware detection;Cai;Neurocomputing,2021

5. Dalvik opcode graph based android malware variants detection using global topology features;Zhang;IEEE Access,2018

Cited by 1 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. Malware Detection and Analysis based on AI Algorithm;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

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