Dendritic Cell Algorithm Enhancement Using Fuzzy Inference System for Network Intrusion Detection

Noe Nnko, Longzhi Yang, Xin Fu, Nitin Naik

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)
26 Downloads (Pure)


Dendritic cell algorithm (DCA) is an immune-inspired classification algorithm which is developed for the purpose of anomaly detection in computer networks. The DCA uses a weighted function in its context detection phase to process three categories of input signals including safe, danger and pathogenic associated molecular pattern to three output context values termed as co-stimulatory, mature and semi-mature, which are then used to perform classification. The weighted function used by the DCA requires either manually pre-defined weights usually provided by the immunologists, or empirically derived weights from the training dataset. Neither of these is sufficiently flexible to work with different datasets to produce optimum classification result. To address such limitation, this work proposes an approach for computing the three output context values of the DCA by employing the recently proposed TSK+ fuzzy inference system, such that the weights are always optimal for the provided data set regarding a specific application. The proposed approach was validated and evaluated by applying it to the two popular datasets KDD99 and UNSW\_NB15. The results from the experiments demonstrate that, the proposed approach outperforms the conventional DCA in terms of classification accuracy.
Original languageEnglish
Title of host publication2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Place of PublicationPiscataway, NJ
Number of pages6
ISBN (Electronic)9781538617281
ISBN (Print)9781538617298
Publication statusPublished - Oct 2019
Event2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) - JW Marriot New Orleans, New Orleans, United States
Duration: 23 Jun 201926 Jun 2019


Conference2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Abbreviated titleFUZZ-IEEE 2019
Country/TerritoryUnited States
CityNew Orleans


Dive into the research topics of 'Dendritic Cell Algorithm Enhancement Using Fuzzy Inference System for Network Intrusion Detection'. Together they form a unique fingerprint.

Cite this