Combating Malware Traffic in Emerging Networks: A Collaborative Learning Approach
Author:
Affiliation:
1. Western University,Department of Computer Science,London,ON,Canada
2. Idaho State University,Department of Electrical and Computer Engineering,Pocatello,ID,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10577635/10577636/10577653.pdf?arnumber=10577653
Reference22 articles.
1. A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
2. Joint Provisioning of QoS and Security in IoD Networks: Classical Optimization Meets AI
3. State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
4. On Smart IoT Remote Sensing over Integrated Terrestrial-Aerial-Space Networks: An Asynchronous Federated Learning Approach
5. Communication-Efficient Privacy-Preserving Federated Learning via Knowledge Distillation for Human Activity Recognition Systems
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