Analysing Network Traffic and Implementing Diverse Technologies to Examine Different Components of the Network
Author:
Affiliation:
1. School of Computer Science and Engineering, Vellore Institute of Technology,Chennai,600127
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10455093/10455752/10456258.pdf?arnumber=10456258
Reference22 articles.
1. IoT Traffic Analyzer Tool with Automated and Holistic Feature Extraction Capability
2. A novel approach for detecting vulnerable IoT devices connected behind a home NAT
3. Dependable intrusion detection system using deep convolutional neural network: A Novel framework and performance evaluation approach
4. Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey
5. Detecting Spies in IoT Systems using Cyber-Physical Correlation
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