Hierarchical Classification of Android Malware Traffic
Author:
Affiliation:
1. University of Napoli "Federico II",Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10063338/10063342/10063349.pdf?arnumber=10063349
Reference30 articles.
1. Real-time Classification of Internet Application Traffic using a Hierarchical Multi-class SVM
2. A Comparison of Machine and Deep Learning Models for Detection and Classification of Android Malware Traffic
3. A Big Data-Enabled Hierarchical Framework for Traffic Classification
4. Novel feature selection and classification of Internet video traffic based on a hierarchical scheme
Cited by 2 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. Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems;Journal of Network and Computer Applications;2024-09
2. Detection of Android Malware in the Internet of Things through the K-Nearest Neighbor Algorithm;Sensors;2023-08-18
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