API Call Based Malware Detection Approach Using Recurrent Neural Network

API Call Based Malware Detection Approach Using Recurrent Neural Network—LSTM

Published:2019-04-12 Issue: Volume: Page:87-99
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Mathew J.,Ajay Kumara M. A.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-16657-1_9

Reference17 articles.

1. Chen, Q., Bridges, R.A.: Automated behavioral analysis of malware a case study of WannaCry Ransomware (2017). arXiv:1709.08753v1 [cs.CR], Cryptography and Security

2. Ajay Kumara, M.A., Jaidhar, C.D.: Automated multi-level malware detection system based on reconstructed semantic view of executables using machine learning techniques at VMM. Future Gener. Comput. Syst. 79(Part 1), 431–446 (2018)

3. Anju, S.S., Harmya, P., Jagadeesh, N., Darsana, R.: Malware detection using assembly code and control flow graph optimization. In: Proceedings of the 1st Amrita ACM-W Celebration of Women in Computing in India, A2CWiC 2010, Coimbatore (2010)

4. Kang, B., Han, K.S., Kang, B., Im, E.G.: Malware categorization using dynamic mnemonic frequency analysis with redundancy filtering. Digit. Investig. 11, 323–335 (2014)

5. Salehi, Z., Sami, A., Ghiasi, M.: Using feature generation from API calls for malware detection. Comput. Fraud Secur. 2014, 9–18 (2014)

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. Android API Malware Detection Based on Permission Using Machine Learning and Deep Learning Methods;2024 International Conference on Data Science and Its Applications (ICoDSA);2024-07-10

2. Comparative analysis of novel gradient boosting algorithm and recurrent neural network algorithms for malware detection and classification;AIP Conference Proceedings;2024

3. Using deep graph learning to improve dynamic analysis-based malware detection in PE files;Journal of Computer Virology and Hacking Techniques;2023-10-20

4. API-MalDetect: Automated malware detection framework for windows based on API calls and deep learning techniques;Journal of Network and Computer Applications;2023-09

5. Malware Detection through Contextualized Vector Embeddings;2023 Silicon Valley Cybersecurity Conference (SVCC);2023-05-17