Intelligent Dynamic Honeypot Enabled by Dynamic Fuzzy Rule Interpolation

Nitin Naik, Changjing Shang, Qiang Shen, Paul Jenkins

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Dynamic fuzzy rule interpolation (D-FRI) utilises a transformation-based knowledge interpolation mechanism to maintain a concurrent rule base according to the requirements of a given application problem. This feature makes it well-suited for network security applications where the perpetual change in the network conditions and traffic is unavoidable. Honeypots have become an important part of the security work of any organisation, gathering detailed information about an attack and attackers, in an effort to design the most robust protection policy. A honeypot deceives attackers to believe that they are interacting with a real system, thereby hiding its identity. Fingerprinting is one of the biggest threats to any honeypot allowing an attacker to discover the identity of the honeypot since once identified, its usefulness is limited. A number of methods have been proposed to fingerprint a honeypot preventing it from functioning; yet, it is a very challenging task to detect fingerprinting in real-time. This paper presents an intelligent and dynamic honeypot based on the D-FRI approach. The resulting system is capable of detecting certain types of fingerprinting threat in the absence of matching rules, while being able to learn and maintain a dynamic rule base for more accurate identification of possible fingerprinting threats based on the current network traffic conditions.

Original languageEnglish
Title of host publicationProceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018
PublisherIEEE
Pages1520-1527
Number of pages8
ISBN (Electronic)9781538666142
DOIs
Publication statusPublished - 22 Jan 2019
Event20th International Conference on High Performance Computing and Communications, 16th IEEE International Conference on Smart City and 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018 - Exeter, United Kingdom
Duration: 28 Jun 201830 Jun 2018

Publication series

NameProceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018

Conference

Conference20th International Conference on High Performance Computing and Communications, 16th IEEE International Conference on Smart City and 4th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018
CountryUnited Kingdom
CityExeter
Period28/06/1830/06/18

Keywords

  • D-FRI
  • Dynamic fuzzy rule interpolation
  • Dynamic honeypot
  • Fingerprinting
  • Intelligent honeypot
  • Network security

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