CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs-Reference-Cited by-同舟云学术

CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
language:
Short-container-title:

Author:

Herath Jerome Dinal¹,Wakodikar Priti Prabhakar¹,Yang Ping¹,Yan Guanhua¹

Affiliation:

1. State University of New York at Binghamton,Binghamton,NY,USA

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9833551/9833474/09833560.pdf?arnumber=9833560

Reference59 articles.

1. Deepflow: Deep learning-based malware detection by mining android application for abnormal usage of sensitive data;zhu;2017 IEEE Symposium on Computers and Communications (ISCC),2017

2. Early-stage malware prediction using recurrent neural networks

3. Explainability in graph neural networks: A taxonomic survey;yuan,2020

Cited by 8 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. A novel CGBoost deep learning algorithm for coseismic landslide susceptibility prediction;Geoscience Frontiers;2024-03

2. A Survey of Control Flow Graph Recovery for Binary Code;Computer Applications;2023-12-16

3. Learning Explainable Multi-view Representations for Malware Authorship Attribution;2023 IEEE International Conference on Big Data (BigData);2023-12-15

4. Debugging Malware Classification Models Based on Event Logs with Explainable AI;2023 IEEE International Conference on Data Mining Workshops (ICDMW);2023-12-04

5. SmartLens: Robust Detection of Rogue Device via Frequency Domain Features in LoRa-Enabled IIoT;2023 IEEE Conference on Communications and Network Security (CNS);2023-10-02