METHOD OF STRUCTURAL FEATURE EXTRACTION FOR MALWARE DETECTION
St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, Laboratory of Computer Security Problems; Post-Graduate Student
I. V. Kotenko
St. Petersburg Institute for Informatics and Automation of Russian Academy of Sciences, Laboratory of Computer Security Problems ; Professor
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Abstract. The approach to malicious documents detection based on the application of machine learning, previously proposed by the authors, is applied to development of a method for extraction of static structural features from a data stream. The method makes use of structural features of malicious document elements and linkage between them.
Keywords:
feature extraction, malware, classification.
