Improving Detection of Malicious Office Documents Using One-Side Classifiers.
Silviu Constantin VitelGheorghe BalanDumitru-Bogdan PrelipceanPublished in: SYNASC (2019)
Keyphrases
- information retrieval
- false alarms
- support vector
- information retrieval systems
- document collections
- detection algorithm
- false positives
- detection method
- text classifiers
- detection rate
- document clustering
- discriminative classifiers
- object detection
- training data
- decision trees
- web documents
- xml documents
- support vector machine classifier
- relevant documents
- metadata
- training samples
- adaboost classifier
- semantic information
- training set
- document retrieval
- document classification
- feature selection
- detect malicious
- multiple classifiers
- boosted classifiers
- linear classifiers
- text documents
- test set
- naive bayes
- text mining
- feature space