Automatically Generating Models for Botnet Detection-Reference-Cited by-同舟云学术

Automatically Generating Models for Botnet Detection

Published:2009 Issue: Volume: Page:232-249
ISSN:0302-9743
Container-title:Computer Security – ESORICS 2009
language:
Short-container-title:

Author:

Wurzinger Peter,Bilge Leyla,Holz Thorsten,Goebel Jan,Kruegel Christopher,Kirda Engin

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-04444-1_15

Reference34 articles.

1. Anderson, D., Fleizach, C., Savage, S., Voelker, G.: Spamscatter: Characterizing Internet Scam Hosting Infrastructure. In: Usenix Security Symposium (2007)

2. Lecture Notes in Computer Science;P. Baecher,2006

3. Lecture Notes in Computer Science;M. Bailey,2007

4. Basseville, M., Nikiforov, I.V.: Detection of Abrupt Changes - Theory and Application. Prentice-Hall, Englewood Cliffs (1993)

5. Bayer, U.: Anubis: Analyzing Unknown Binaries, http://analysis.iseclab.org/

Cited by 59 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Relational reasoning-based approach for network protocol reverse engineering;Computer Networks;2023-07

2. MTCD-Model: A Two-Layer Model for Malicious Traffic Classification and Detection Based on Hierarchical Feature Learning;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

3. Time Series-Based IDS for Detecting Botnet Attacks in IoT and Embedded Devices;Lecture Notes in Electrical Engineering;2023

4. Machine Learning-Based Malware Detection and Classification in Encrypted TLS Traffic;Security, Privacy and Data Analytics;2023

5. Analyzing Learning-based Encrypted Malware Traffic Classification with AutoML;2021 IEEE 21st International Conference on Communication Technology (ICCT);2021-10-13