Detecting malicious PDF documents using semi-supervised machine learning

Jiang, J; Song, N; Yu, M; Chow, KP; Li, Gang; Liu, C; Huang, W

Detecting malicious PDF documents using semi-supervised machine learning

conference contribution

posted on 2024-06-06, 01:23 authored by J Jiang, N Song, M Yu, KP Chow, Gang LiGang Li, C Liu, W Huang

Detecting malicious PDF documents using semi-supervised machine learning

History

Volume

612

Pagination

135-155

Location

Virtual Event

Start date

2021-02-01

End date

2021-02-02

ISSN

1868-4238

eISSN

1868-422X

ISBN-13

9783030883812

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

DigitalForensics 2021 : IFIP Advances in Information and Communication Technology : Proceedings of the 17th Digital Forensics Conference

Event

Digital Forensics. Conference (17th : 2021 : Virtual Event)

Publisher

Springer

Place of publication

Cham, Switzerland

Series

IFIP Advances in Information and Communication Technology

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Keywords

no CORE2020 4611 Machine learning

Detecting malicious PDF documents using semi-supervised machine learning

History

Volume

Pagination

Location

Start date

End date

ISSN

eISSN

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Series

Usage metrics

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Keywords

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