add dga-detector sample code

dga-detector.R

@@ -0,0 +1,25 @@
+# Code for using the DGA detector model
+
+library(keras)
+library(plumber)
+library(reticulate)
+
+hfhub <- reticulate::import('huggingface_hub')
+model <- hfhub$from_pretrained_keras("harpomaxx/dga-detector")
+modelid="cacic-2018-model"
+valid_characters <- "$abcdefghijklmnopqrstuvwxyz0123456789-_."
+valid_characters_vector <- strsplit(valid_characters,split="")[[1]]
+tokens <- 0:length(valid_characters_vector)
+names(tokens) <- valid_characters_vector
+
+# DGA prediction function
+function(domain){
+  domain_encoded <-
+	  	sapply( 
+			unlist(strsplit(tolower(domain),split="")), function(x) tokens [[x]] 
+			) 
+  domain_encoded<-pad_sequences(t(domain_encoded),maxlen=45,padding='post', truncating='post')
+
+  prediction<-predict(model,domain_encoded)
+  return(list(modelid=modelid,domain=domain,class=ifelse(prediction[1]>0.9,1,0),probability=prediction[1]))
+}