Network Intrusion Detection using Bayesian Inference

Md Iyer

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2018.4202.022

1. Introduction

Existing models of network intrusion detection were largely developed for temperate climates and translate poorly to tropical conditions. An extensive series of tests is complemented by Bayesian inference to generalise the findings. The model explained 26% of the variance observed in the field data. Policymakers may draw on these results when prioritising infrastructure investment.

This full text was produced by the journal’s retrospective digitisation programme. Section headings follow the printed original.

2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

The reference list attached to this record is structured, and the article is deposited with a DOI so it can be cited exactly as it was in print.