Lifelong Autonomous Botnet Detection-Reference-Cited by-同舟云学术

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Lifelong Autonomous Botnet Detection

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

de Araujo Alex Medeiros¹,de Neira Anderson Bergamini¹,Nogueira Michele¹

Affiliation:

1. Federal University of Paraná,Department of Informatics,Brazil

Funder

National Council for Scientific and Technological Development (CNPq/Brazil)

São Paulo Research Foundation (FAPESP)

Coordination for the Improvement of Higher Education Personnel (CAPES/Brazil)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001436.pdf?arnumber=10001436

Reference18 articles.

1. Botnet detection based on traffic behavior analysis and flow intervals

2. A Method Aware of Concept Drift for Online Botnet Detection

3. Concept learning using one-class classifiers for implicit drift detection in evolving data streams;gözüaç?k;Artificial Intelligence Review,2021

4. Learning under Concept Drift: A Review

5. An active and dynamic botnet detection approach to track hidden concept drift;wang;ICICS,2017

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