Data driven approach to identify a flow-based Botnet Host using Deep Learning
Author:
Affiliation:
1. School of Computing Amrita Vishwa Vidhyapeetham,Department of Computer Science Engineering,Chennai,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10141668/10141583/10141698.pdf?arnumber=10141698
Reference30 articles.
1. An Adaptive Multi-Layer Botnet Detection Technique Using Machine Learning Classifiers
2. A Comparative Study of Machine Learning Algorithms and Their Ensembles for Botnet Detection
3. Early detection of in-the-wild botnet attacks by exploiting network communication uniformity: An empirical study
4. Measurements and mitigation of peer-to-peer-based botnets: A case study on storm worm;holz;First Usenix Workshop on Large-scale Exploits and Emergent Threats (LEET'08),2008
5. An approach to enhance packet classification performance of software-defined network using deep learning
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