An Android Malware Detection Approach Using Bayesian Inference-Reference-Cited by-同舟云学术

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An Android Malware Detection Approach Using Bayesian Inference

Published:2016-12 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE International Conference on Computer and Information Technology (CIT)
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Author:

Liu Che-Hsun,Zhang Zhi-Jie,Wang Sheng-De

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7875313/7876293/07876376.pdf?arnumber=7876376

Cited by 7 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. Fuzzy Membership Grasshopper Optimization Algorithm (FMGOA) Based Feature Selection and Mean Weight Deep Belief Network (MWDBN) Classifier with Fusion Approach for Android Malware Detection (AMD);Communications in Computer and Information Science;2024

2. Malware Detection Using Deep Learning and Correlation-Based Feature Selection;Symmetry;2023-01-01

3. MACI: Malicious API Call Identifier Model to Secure the Host Platform;Proceedings of the Seventh International Conference on Mathematics and Computing;2022

4. Malicious application detection in android — A systematic literature review;Computer Science Review;2021-05

5. A Review of Android Malware Detection Approaches Based on Machine Learning;IEEE Access;2020

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