Abstract
Presented herein are innovative techniques for analyzing network traffic and identifying anomalous patterns using Artificial Intelligence (AI). In particular, the techniques presented herein map the network traffic into pictures and use advanced image recognition AI to detect anomalies in those pictures. The solution uses Transfer Learning from pre-trained models such as RESNET50. Since the models are pre-trained, the amount of new training data and time is reduced drastically.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Kondareddy, Yogesh; Dantu, Sai; Thangachamy, Ramadhasan; Kulkarni, Santosh; Chirala, Leela V Kiran Kumar; and Singh, Rahul, "WIRELESS TRAFFIC ANALYSIS AND ANOMALY DETECTION USING DEEP LEARNING", Technical Disclosure Commons, (November 11, 2019)
https://www.tdcommons.org/dpubs_series/2663