Intelligent Optimal Gated Recurrent Unit based Malicious PDF Detection and Classification Model-Reference-Cited by-同舟云学术

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Intelligent Optimal Gated Recurrent Unit based Malicious PDF Detection and Classification Model

Published:2022-05-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
language:
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Author:

Chandran P. Pandi¹,N Hema Rajini.²,Jeyakarthic M.³

Affiliation:

1. Annamalai University,Faculty of Science,Department of Computer and Information Science

2. Alagappa Chettiar Government College of Engineering and Technology,Department of CSE,Karaikudi,Tamilnadu,630003

3. Annamalai University,Department of Computer and Information Science,Annamalai Nagar,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9792618/9792586/09793116.pdf?arnumber=9793116

Reference18 articles.

1. FEPDF: A Robust Feature Extractor for Malicious PDF Detection

2. MLPdf: an effective machine learning based approach for PDF malware detection;zhang;ArXiv Preprint,2018

3. Detecting malicious PDF using CNN;fettaya;ArXiv Preprint,2020

4. Malicious PDF Detection Model against Adversarial Attack Built from Benign PDF Containing JavaScript

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PDF Malware Detection optimisation using machine learning;2023 3rd International Conference on Computing and Information Technology (ICCIT);2023-09-13

2. Double-Layer Detection Model of Malicious PDF Documents Based on Entropy Method with Multiple Features;Entropy;2023-07-23

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