JOURNAL ARTICLE

Detecting HTTP Botnet with Clustering Network Traffic

Abstract

Botnet is a great threat of the Internet nowadays. For now, Botnet has transformed to the complex one based on HTTP, P2P protocols from the simple Botnets which based on IRC protocol. In this paper, we evaluate the key features of HTTP Botnet and design a new method to detect the HTTP Botnet based on feature analysis. The experiment result shows that our method is effective and efficient on detecting HTTP Botnet.

Keywords:
Botnet Computer science The Internet Computer network Hypertext Transfer Protocol Cluster analysis Computer security World Wide Web Artificial intelligence

Metrics

27
Cited By
1.90
FWCI (Field Weighted Citation Impact)
12
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Internet Traffic Analysis and Secure E-voting
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing

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