SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods.
Aviad CohenNir NissimLior RokachYuval EloviciPublished in: Expert Syst. Appl. (2016)
Keyphrases
- feature extraction
- information retrieval
- document collections
- automatic detection
- detection rate
- face recognition
- frequency analysis
- preprocessing
- web documents
- information retrieval systems
- database
- detection algorithm
- text documents
- object detection
- feature extraction and classification
- false positives
- vector space model
- malicious behavior
- texture analysis
- structural information
- document classification
- document retrieval
- frequency domain
- xml documents
- false alarms
- detecting malicious
- detect malicious
- multi document summarization
- free text
- document clustering
- texture features
- relevant documents
- support vector machine svm
- image classification
- dimensionality reduction
- information extraction
- keywords
- feature selection