A Contextual Approach for Improving Anomalous Network Traffic Flows Prediction-Reference-Cited by-同舟云学术

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A Contextual Approach for Improving Anomalous Network Traffic Flows Prediction

Published:2024-07-02 Issue: Volume: Page:2203-2208
ISSN:
Container-title:2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC)
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Author:

Babai Eilaf M.A¹,Okamura Koji¹

Affiliation:

1. Kyushu University,Fukuoka,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10633276/10633246/10633573.pdf?arnumber=10633573

Reference21 articles.

1. Sketch-based change detection

2. Characterization of network-wide anomalies in traffic flows;Lakhina,2004

3. Deep Sequence Modeling for Anomalous ISP Traffic Prediction

4. Using Pattern-of-Life as Contextual Information for Anomaly-Based Intrusion Detection Systems

5. A Deep-Learning Model for Estimating the Impact of Social Events on Traffic Demand on a Cell Basis

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