Defining malware families based on analyst insights
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6095473/6107829/06107902.pdf?arnumber=6107902
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. Malware classification using word embeddings algorithms and long‐short term memory networks;Computational Intelligence;2022-07-13
2. Beyond the virus: a first look at coronavirus-themed Android malware;Empirical Software Engineering;2021-06-12
3. A Model Based on LSTM Neural Networks to Identify Five Different Types of Malware;Procedia Computer Science;2019
4. Behavior-based features model for malware detection;Journal of Computer Virology and Hacking Techniques;2015-06-04
5. Approaches to adversarial drift;Proceedings of the 2013 ACM workshop on Artificial intelligence and security;2013-11-04
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