A Hierarchical Graph-Based Neural Network for Malware Classification-Reference-Cited by-同舟云学术

A Hierarchical Graph-Based Neural Network for Malware Classification

Published:2021 Issue: Volume: Page:621-633
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Wang Shuai^ORCID,Zhao Yuran^ORCID,Liu Gongshen^ORCID,Su Bo^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-92273-3_51

Reference19 articles.

1. Abusitta, A., Li, M.Q., Fung, B.C.: Malware classification and composition analysis: a survey of recent developments. J. Inf. Secur. Appl. 59, 102828 (2021)

2. Dai, H., Dai, B., Song, L.: Discriminative embeddings of latent variable models for structured data. In: International Conference on Machine Learning, pp. 2702–2711. PMLR (2016)

3. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)

4. Ding, S.H., Fung, B.C., Charland, P.: Asm2vec: boosting static representation robustness for binary clone search against code obfuscation and compiler optimization. In: 2019 IEEE Symposium on Security and Privacy (SP), pp. 472–489. IEEE (2019)

5. Gibert, D., Mateu, C., Planes, J.: A hierarchical convolutional neural network for malware classification. In: 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1–8. IEEE (2019)

Cited by 5 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 multimodal Windows malware detection method based on hybrid analysis and graph representations;2024 International Conference on Multimedia Analysis and Pattern Recognition (MAPR);2024-08-15

2. A Survey on Malware Detection with Graph Representation Learning;ACM Computing Surveys;2024-06-29

3. XShellGNN: Cross-file Web Shell Detection Based on Graph Neural Network;2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD);2024-05-08

4. MalGNE: Enhancing the Performance and Efficiency of CFG-Based Malware Detector by Graph Node Embedding in Low Dimension Space;IEEE Transactions on Information Forensics and Security;2024

5. Malware Detected and Tell Me Why: An Verifiable Malware Detection Model with Graph Metric Learning;Science of Cyber Security;2022