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APT Attack Detection Scheme Based on CK Sketch and DNS Traffic.

Defan Xue1, Yaping Chi1,2, Bing Wu1,2

  • 1Beijing Electronic Science and Technology Institute, Beijing 100070, China.

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Summary

This study introduces a novel sketch-based scheme to efficiently detect Advanced Persistent Threat (APT) attacks by analyzing Domain Name Server (DNS) traffic. The method significantly reduces processing time and improves detection accuracy for network security.

Keywords:
APT attackDNSdeep learningsensor networksketch

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Area of Science:

  • Cybersecurity
  • Network Security
  • Data Science

Background:

  • Advanced Persistent Threats (APTs) pose a significant risk to sensor security.
  • Current APT detection methods analyzing Domain Name Server (DNS) traffic face efficiency challenges due to large data volumes and ineffective preprocessing.
  • Existing approaches often overlook the crucial association between DNS request and response messages.

Purpose of the Study:

  • To develop an efficient APT attack traffic detection scheme using sketch structures for network traffic analysis.
  • To improve the scalability and effectiveness of APT detection by addressing limitations in traditional data preprocessing methods.
  • To identify and incorporate effective features for enhanced APT detection.

Main Methods:

  • Proposed a sketch-based scheme to count and compress network traffic for improved APT detection efficiency.
  • Developed an improved sketch scheme to overcome limitations of traditional sketches in network traffic analysis.
  • Extracted and utilized several effective features for APT attack detection, considering request-response message associations.
  • Evaluated the solution using a large dataset of DNS traffic and APT suspicious traffic with eight machine learning models.

Main Results:

  • The proposed sketch-based scheme significantly enhances the efficiency of APT detection.
  • Achieved a processing time of 0.0638 seconds with an accuracy of 0.97920 using the ExtraTrees model.
  • Demonstrated a reduction in processing time by approximately 50 times compared to methods without sketch processing.
  • Showcased a marginal improvement in detection accuracy.

Conclusions:

  • The sketch-based APT traffic detection scheme offers a highly efficient and effective solution for identifying sophisticated cyber threats.
  • The improved sketch method and novel features contribute to overcoming the scalability issues in analyzing large DNS traffic datasets.
  • This approach provides a promising direction for real-time and accurate detection of APT attacks in network communications.