Dec 1, 2016 · Detection relies upon our new structural feature extraction methodology (SFEM), which is performed statically using meta-features extracted from ...
Jan 18, 2017 · based on the new structural feature extraction method- ology (SFEM). - Developing ALDOCX, a framework based on active learning methods for ...
Detection relies upon our new structural feature extraction methodology (SFEM) which is performed statically using meta-features extracted from docx files.
ALDOCX is a framework aimed at accurate detection of new unknown malicious docx files that also efficiently enhances the framework's detection capabilities ...
Sep 28, 2022 · Detection relies upon our new structural feature extraction methodology (SFEM), which is performed statically using meta-features extracted from ...
ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction ...
Jan 30, 2024 · This paper proposes a machine learning approach, artificial intelligence-based anti-malware that can be used to detect the presence of malicious ...
Missing: ALDOCX: Designated Active Structural
Based on the above observations, this paper conducts an objective analysis by extracting features of obfuscation and suspicious keywords and integrating them to ...
Apr 26, 2024 · Malicious document attacks are one of the severe threats in the current field of cybersecurity. This paper compares traditional and ...
ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction ...