FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files

Pengyu Zhou; Daniel Chong; Honglu Jiang; Junjie Zhang; Rui Dai

doi:10.1109/NAECON65708.2025.11235483

FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files

Pengyu Zhou
, Daniel Chong
, Honglu Jiang
, Junjie Zhang
, Rui Dai

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	NAECON 2025 - IEEE National Aerospace and Electronics Conference
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331538132
DOIs	https://doi.org/10.1109/NAECON65708.2025.11235483
State	Published - 2025
Event	2025 IEEE National Aerospace and Electronics Conference, NAECON 2025 - Dayton, United States Duration: Jul 28 2025 → Jul 31 2025

Publication series

Name	Proceedings of the IEEE National Aerospace Electronics Conference, NAECON
ISSN (Print)	0547-3578
ISSN (Electronic)	2379-2027

Conference

Conference	2025 IEEE National Aerospace and Electronics Conference, NAECON 2025
Country/Territory	United States
City	Dayton
Period	7/28/25 → 7/31/25

ASJC Scopus Subject Areas

Control and Systems Engineering
Computer Science Applications
Computer Networks and Communications
Electrical and Electronic Engineering

Keywords

PDF malware
federated learning
intrusion detection

Access to Document

10.1109/NAECON65708.2025.11235483

Cite this

Zhou, P., Chong, D., Jiang, H., Zhang, J., & Dai, R. (2025). FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files. In NAECON 2025 - IEEE National Aerospace and Electronics Conference (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NAECON65708.2025.11235483

FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files. / Zhou, Pengyu; Chong, Daniel; Jiang, Honglu et al.
NAECON 2025 - IEEE National Aerospace and Electronics Conference. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhou, P, Chong, D, Jiang, H, Zhang, J & Dai, R 2025, FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files. in NAECON 2025 - IEEE National Aerospace and Electronics Conference. Proceedings of the IEEE National Aerospace Electronics Conference, NAECON, Institute of Electrical and Electronics Engineers Inc., 2025 IEEE National Aerospace and Electronics Conference, NAECON 2025, Dayton, United States, 7/28/25. https://doi.org/10.1109/NAECON65708.2025.11235483

Zhou P, Chong D, Jiang H, Zhang J, Dai R. FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files. In NAECON 2025 - IEEE National Aerospace and Electronics Conference. Institute of Electrical and Electronics Engineers Inc. 2025. (Proceedings of the IEEE National Aerospace Electronics Conference, NAECON). doi: 10.1109/NAECON65708.2025.11235483

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title = "FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files",

keywords = "PDF malware, federated learning, intrusion detection",

author = "Pengyu Zhou and Daniel Chong and Honglu Jiang and Junjie Zhang and Rui Dai",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE National Aerospace and Electronics Conference, NAECON 2025 ; Conference date: 28-07-2025 Through 31-07-2025",

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series = "Proceedings of the IEEE National Aerospace Electronics Conference, NAECON",

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AU - Zhou, Pengyu

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AU - Zhang, Junjie

AU - Dai, Rui

PY - 2025

Y1 - 2025

KW - PDF malware

KW - federated learning

KW - intrusion detection

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DO - 10.1109/NAECON65708.2025.11235483

M3 - Conference contribution

AN - SCOPUS:105029480267

T3 - Proceedings of the IEEE National Aerospace Electronics Conference, NAECON

BT - NAECON 2025 - IEEE National Aerospace and Electronics Conference

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 28 July 2025 through 31 July 2025

ER -

FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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