Survey of approaches and features for the identification of HTTP-based botnet traffic-Reference-Cited by-同舟云学术

Survey of approaches and features for the identification of HTTP-based botnet traffic

Published:2016-12 Issue: Volume:76 Page:1-15
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Acarali Dilara,Rajarajan Muttukrishnan,Komninos Nikos,Herwono Ian

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference40 articles.

1. Al-Bataineh, A., White, G., 2012. Analysis and detection of malicious data exfiltration in web traffic. In: 2012 7th International Conference on Malicious and Unwanted Software (MALWARE), pp. 26–31. http://dx.doi.org/10.1109/MALWARE.2012.6461004

2. Andrade, M., Vlajic, N., 2012. Dirt jumper: A key player in today's botnet-for-ddos market. In: 2012 World Congress on Internet Security (WorldCIS), pp. 239–244 .

3. Beigi, E., Jazi, H., Stakhanova, N., Ghorbani, A., 2014. Towards effective feature selection in machine learning-based botnet detection approaches. In: 2014 IEEE Conference on Communications and Network Security (CNS), pp. 247–255. http://dx.doi.org/10.1109/CNS.2014.6997492

4. Binsalleeh, H., Ormerod, T., Boukhtouta, A., Sinha, P., Youssef, A., Debbabi, M., Wang, L., 2010. On the analysis of the zeus botnet crimeware toolkit. In: 2010 Eighth Annual International Conference on Privacy Security and Trust (PST), pp. 31–38. http://dx.doi.org/10.1109/PST.2010.5593240

5. Borgaonkar, R., 2010. An analysis of the asprox botnet. In 2010 Fourth International Conference on Emerging Security Information Systems and Technologies (SECURWARE), pp. 148–153. http://dx.doi.org/10.1109/SECURWARE.2010.32

Cited by 38 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. Dial "N" for NXDomain: The Scale, Origin, and Security Implications of DNS Queries to Non-Existent Domains;Proceedings of the 2023 ACM on Internet Measurement Conference;2023-10-24

2. Analyzing and detecting Botnet Attacks using Anomaly Detection with Machine Learning;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03

3. Folklore in Social Networks (Using the Example of Twitter and Telegram);Филология: научные исследования;2023-02

4. Web Bot Detection Based on Hidden Features of HTTP Access Log;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

5. A Formal Analysis of the Efficacy of Rebooting as a Countermeasure Against IoT Botnets;ICC 2022 - IEEE International Conference on Communications;2022-05-16