Double|Layer Detection Model of Malicious PDF Documents Based ...

Double-Layer Detection Model of Malicious PDF Documents Based ...

To address these shortcomings, we build a double-layer detection model for malicious PDF documents based on an entropy method with multiple ...

Double-Layer Detection Model of Malicious PDF Documents Based ...

Traditional PDF document detection technology usually builds a rule or feature library for specific vulnerabilities and therefore is only ...

Double-Layer Detection Model of Malicious PDF Documents Based ...

Traditional PDF document detection technology usually builds a rule or feature library for specific vulnerabilities and therefore is only fit for single ...

A Unified Malicious Documents Detection Model Based on Two ...

Double-Layer Detection Model of Malicious PDF Documents Based on Entropy Method with Multiple Features. Article. Full-text available. Jul 2023; Entropy. Enzhou ...

Malicious PDF Documents Detection using Machine Learning ...

This work aims to verify whether using Machine Learning techniques for malware detection in PDF documents with JavaScript embedded could result in an ...

An Evasion Resilient Approach to the Detection of Malicious PDF Files

Double-Layer Detection Model of Malicious PDF Documents Based on Entropy Method with Multiple Features · Computer Science. Entropy · 2023.

Improving malicious PDF classifier with feature engineering: A data ...

We develop a method to extract and evaluate a set of explainable features for efficient and timely PDF maldoc detection. More importantly, we find a set of ...

Static detection of malicious JavaScript-bearing PDF documents

Compared to previous work, mostly based on dynamic analysis, our method incurs an order of magnitude lower run-time overhead and does not require special ...

Detection of Malicious PDF Files Based on Hierarchical Document ...

JSAND uses 10 carefully designed heuristic features to train models of benign JavaScript and detect at- tacks as large deviations from these models [9]. A ...

Malicious PDF detection using metadata and structural features

Owed to their versatile functionality and widespread adoption, PDF documents have become a popular avenue for user exploitation ranging from large-scale ...

Malicious documents detection for business process management ...

Malicious documents detection is identified as an important issue in the workflow of BPM. · A multi-layer abstract model for malicious document detection is ...

MLPdf: An Effective Machine Learning Based Approach for PDF ...

a multilayer perceptron neural network model, termed MLPdf , for the detection of PDF based malware. ... the Detection of Malicious Documents,” in ...

How to Analyze Malicious PDF Files - Intezer

At the same time, this format is very appealing for cyber criminals, as they can create valid looking PDF documents that will deliver malicious ...

DETECTING MALICIOUS PDF DOCUMENTS USING SEMI ...

This chapter presents a semi-supervised machine learning method for detecting malicious PDF documents. It extracts structural features as well as statistical ...

A Universal Malicious Documents Static Detection Framework ...

feature extraction methodology [9], the detection of malicious PDF documents based on ... based on multi-layer abstract model. Future Gener.

A Feature Set of Small Size for the PDF Malware Detection - arXiv

The flexibility and portability of PDF files makes them a popular target for malware attacks. Over time, different ap- proaches have been ...

Detection of Malicious PDF Files Based On Hierarchical Document ...

This document proposes a method for detecting malicious PDF files based on analyzing their hierarchical document structure, rather than analyzing JavaScript ...

PDF Malware Detection: Toward Machine Learning Modeling With ...

Because a PDF document acts identically on several devices, the authors in [38] developed a detection method based on behavioral inconsistencies ...

A Universal Malicious Documents Static Detection Framework ...

Double-Layer Detection Model of Malicious PDF Documents Based on Entropy Method with Multiple Features. Enzhou Song, Tao Hu, Peng Yi, Wenbo Wang. https://doi ...

Double-Layer Detection Model of Malicious PDF Documents Based ...

Double-Layer Detection Model of Malicious PDF Documents Based on Entropy Method with Multiple Features. Entropy 2023, 25, 1099. https://doi.org/10.3390 ...