METHOD OF STRUCTURAL FEATURE EXTRACTION FOR MALWARE DETECTION
Annotation
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
Постоянный URL
Articles in current issue
- METHODOLOGICAL BASIS OF PLANNING STRUCTURAL AND FUNCTIONAL RECONFIGURATION OF COMPLEX OBJECTS
- DYNAMIC INTERPRETATION OF COMPLEX OBJECT LIFE CYCLE MANAGEMENT
- COMBINED METHOD FOR OPERATION PLANNING AND RESOURCE ALLOCATION IN ACTIVE MOBILE OBJECTS CONTROL SYSTEM
- OPTICAL-ELECTRONIC DEVICE FOR AUTOMATIC LANDING OF THE SELF-CONTAINED FLYING ROBOT
- COMPLIANT MOTION CONTROL ALGORITHM FOR FLEXIBLE JOINT MANIPULATOR WITH PARTIAL DYNAMIC COMPENSATION
- INFORMATION SYSTEM FOR ELECTROGASTROGRAPHY DATA STORAGE AND PROCESSING
- METHODOLOGY FOR ESTIMATION OF AUTOMATIC SPEECH RECOGNITION SYSTEM PERFORMANCE
- ANALYSIS OF MODERN METHODS AND SYSTEMS FOR SPEAKER DIARIZATION
- DESIGN FEATURES OF USER INTERFACE OF MOBILE INFORMATIONAL ROBOT
- MODEL OF CONFIGURATING OF SECURE AND ENERGY-EFFICIENT EMBEDDED SYSTEMS
- METHOD OF STRUCTURAL FEATURE EXTRACTION FOR MALWARE DETECTION
- EFFICIENCY ESTIMATION OF INFORMATION SERVICE CENTER
- “AURA” PROGRAM COMPLEXES FOR PERSONAL DATA INFORMATION SYSTEM PROTECTION