Automatic clustering of malware variants
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7739307/7745427/07745494.pdf?arnumber=7745494
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. Consumer, Commercial, and Industrial IoT (In)Security: Attack Taxonomy and Case Studies;IEEE Internet of Things Journal;2022-01-01
2. Family Matters: On the Investigation of [Malicious] Mobile Apps Clustering;Computational Science and Its Applications – ICCSA 2021;2021
3. A Review on Malware Variants Detection Techniques for Threat Intelligence in Resource Constrained Devices: Existing Approaches, Limitations and Future Direction;Communications in Computer and Information Science;2021
4. DeepDetectNet vs RLAttackNet: An adversarial method to improve deep learning-based static malware detection model;PLOS ONE;2020-04-23
5. Semi-Supervised Malware Clustering Based on the Weight of Bytecode and API;IEEE Access;2020
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