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Area of Science:

  • Computer Science
  • Network Security
  • Cybersecurity

Background:

  • The Border Gateway Protocol (BGP), the Internet's inter-domain routing system, is inherently insecure.
  • Current BGP anomaly detection methods are computationally expensive, require extensive tuning, and focus on single monitoring points, making them vulnerable to sophisticated attacks.
  • Existing detection techniques fail against advanced attacks designed to exploit single-observation limitations and evade public routing monitors.

Purpose of the Study:

  • To review and categorize BGP attacks by complexity.
  • To identify candidate anomaly detection techniques suitable for advanced BGP attack detection.
  • To introduce the concept of advanced BGP anomaly detection, emphasizing multi-viewpoint interactions and rapid capabilities.

Main Methods:

  • A comprehensive survey and evaluation of 178 anomaly detection techniques.
  • Categorization of BGP attacks based on their complexity.
  • Exploratory investigation into advanced BGP attack candidates.

Main Results:

  • Identified limitations of current BGP security measures against advanced threats.
  • Highlighted the need for lightweight, rapid, and multi-viewpoint detection capabilities.
  • Preliminary findings on candidate techniques for advanced BGP anomaly detection.

Conclusions:

  • Advanced BGP attacks necessitate a shift towards multi-viewpoint, dynamic analysis.
  • The proposed advanced BGP anomaly detection approach offers a promising direction for enhancing Internet routing security.
  • Further research is needed to validate and implement these advanced detection strategies.