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Related Experiment Videos

Towards accurate node-based detection of P2P botnets.

Chunyong Yin1

  • 1School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China ; Jiangsu Engineering Center of Networking Monitoring, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Thescientificworldjournal
|August 5, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces node-based detection to identify peer-to-peer (P2P) botnets by analyzing individual node network activity. The novel method achieves high detection rates with minimal false positives, outperforming existing P2P botnet detection techniques.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Security

Background:

  • Botnets pose a significant threat to internet infrastructure.
  • Peer-to-peer (P2P) botnets are a growing concern due to their decentralized nature.
  • Existing detection methods often struggle with the dynamic characteristics of P2P botnets.

Purpose of the Study:

  • To propose and evaluate a novel node-based detection approach for P2P botnets.
  • To focus on the network characteristics of individual nodes for botnet identification.
  • To offer a more effective solution for P2P botnet detection.

Main Methods:

  • Developed a node-based detection model focusing on individual node network characteristics.
  • Extracted relevant features from node traffic flows over specified time periods.
  • Tested the approach using real-world datasets.

Main Results:

  • Achieved high P2P botnet detection rates ranging from 99% to 100%.
  • Maintained low false positive rates between 0% and 2%.
  • Demonstrated superior performance compared to existing methods on identical datasets.

Conclusions:

  • Node-based detection is a highly effective strategy for identifying P2P botnets.
  • The proposed method offers significant improvements in accuracy and efficiency.
  • This approach provides a robust solution for combating P2P botnet threats.