TY  - JOUR
AU  - Iyer, Md
TI  - Network Intrusion Detection using Bayesian Inference
JO  - Open Access Journal of Engineering Applications
PY  - 2018
VL  - 42
IS  - 2
SP  - 399
EP  - 412
AB  - 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.
KW  - network intrusion detection
KW  - Bayesian inference
KW  - power quality
KW  - image segmentation
KW  - computational fluid dynamics
SN  - 3105-7004
DO  - 10.55555/oajea.2018.4202.022
UR  - https://journal.bsaps.com/article/9539
ER  -