Paper

Building a cognizant honeypot for detecting active fingerprinting attacks using dynamic fuzzy rule interpolation

The article offers an approach to building a cognizant honeypot for detecting active fingerprinting attacks through the use of the established dynamic fuzzy rule interpolation (D-FRI) technique, relying on a sparse rule base while remaining capable of detecting such attacks when no matching rules are found. The system learns from current network conditions and provides a dynamic rule base intended to facilitate more accurate and efficient detection, as described by the authors.

HoneypotNetwork

What we know

The article offers an approach to building a cognizant honeypot for detecting active fingerprinting attacks through the use of the established dynamic fuzzy rule interpolation (D-FRI) technique, relying on a sparse rule base while remaining capable of detecting such attacks when no matching rules are found. The system learns from current network conditions and provides a dynamic rule base intended to facilitate more accurate and efficient detection, as described by the authors.

Evidence limits

Review based only on the publisher-deposited abstract; no full text was consulted and the results, implementation or effectiveness of the system were not independently verified.

Reviewed: author abstract. Full-text results were not analyzed.

Sources and provenance

  1. Building a cognizant honeypot for detecting active fingerprinting attacks using dynamic fuzzy rule interpolation
    abstract · 2026-10-11

Reviewed: 2026-10-13. This record may change when new evidence is found.

RIS · BibTeX