arrow
返回

Unveiling malicious PDF behavior: Interpretable classification and profiling malicious PDF using TabNet

delete2026-04-27
delete0
PRE
AI
A
Arousha Haghighian Roudsari *
A
Arash Habibi Lashkari
W
Woong-Kee Loh
DOI:10.1016/j.jisa.2026.104487delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
• 使用TabNet进行恶意PDF检测,在提供高检测性能的同时保证可解释性。• 利用TabNet的动态注意力机制识别分类相关的特征,减少特征工程。• 对TabNet的可解释性进行全面分析,为局部和全局特征重要性提供见解。• 在真实世界的CIC-Evasive-PDFMal2022数据集上达到当前最佳结果。
Keyword:
Malicious PDF detection
TabNet
Interpretability
Feature importance
Machine learning

期刊

Journal of Information Security and Applications 封面图
Journal of Information Security and Applications
IF:
3.7
论文数:
1.9K
被引数:
4.9K

机构

Y
York University
学者数:
1.1K
论文数: 637
被引数: 1.5K
G
gachon university
学者数:
2.1K
论文数: 1.3K
被引数: 0
引用论文

引用论文

A sequential deep learning framework for a robust and resilient network intrusion detection system
err2024-09-01
err4
errOAAI
errHore, Soumyadeep; Ghadermazi, Jalal; Shah, Ankit; Bastian, Nathaniel D.
err分享
err收藏
Malware Dynamic Analysis Evasion Techniques: A Survey恶意软件动态分析规避技术综述
err2019-11-14
err90
PREAI
errAfianian, Amir; Niksefat, Salman; Sadeghiyan, Babak; Baptiste, David
err分享
err收藏
Autoencoder-based deep metric learning for network intrusion detection
err2021-08-01
err0
PREAI
errGiuseppina Andresini; Annalisa Appice; Donato Malerba
err分享
err收藏
Taking the Human Out of the Loop: A Review of Bayesian Optimization将人类带出循环: 贝叶斯优化的回顾
err2016-01-01
err3.5K
PREAI
errShahriari, Bobak; Swersky, Kevin; Wang, Ziyu; Adams, Ryan P.; de Freitas, Nando
err分享
err收藏
A feature-vector generative adversarial network for evading PDF malware classifiers
err2020-06-01
err0
PREAI
errYuanzhang Li; Yaxiao Wang; Ye Wang; Lishan Ke; Yu-an Tan
err分享
err收藏
err分享
err收藏
A multi-task based deep learning approach for intrusion detection
err2022-02-01
err27
PREAI
errLiu, Qigang; Wang, Deming; Jia, Yuhang; Luo, Suyuan; Wang, Chongren
err分享
err收藏
学者 查看更多内容