DETECTING MALICIOUS PDF DOCUMENTS USING SEMI-SUPERVISED MACHINE LEARNING
- DOI
- 10.1007/978-3-030-88381-2_7
- Published
- 2021
- Container
- IFIP Advances in Information and Communication Technology
- Publisher
- Springer International Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-030-88381-2_7,
title = {DETECTING MALICIOUS PDF DOCUMENTS USING SEMI-SUPERVISED MACHINE LEARNING},
author = {Jianguo Jiang and Nan Song and Min Yu and Kam-Pui Chow and Gang Li and Chao Liu and Weiqing Huang},
year = {2021},
journal = {IFIP Advances in Information and Communication Technology},
doi = {10.1007/978-3-030-88381-2_7},
url = {https://doi.org/10.1007/978-3-030-88381-2_7}
}RIS
TY - JOUR TI - DETECTING MALICIOUS PDF DOCUMENTS USING SEMI-SUPERVISED MACHINE LEARNING AU - Jianguo Jiang AU - Nan Song AU - Min Yu AU - Kam-Pui Chow AU - Gang Li AU - Chao Liu AU - Weiqing Huang PY - 2021 JO - IFIP Advances in Information and Communication Technology DO - 10.1007/978-3-030-88381-2_7 UR - https://doi.org/10.1007/978-3-030-88381-2_7 ER -
APA
Jiang, J., Song, N., Yu, M., Chow, K., Li, G., Liu, C., & Huang, W. (2021). DETECTING MALICIOUS PDF DOCUMENTS USING SEMI-SUPERVISED MACHINE LEARNING. IFIP Advances in Information and Communication Technology. https://doi.org/10.1007/978-3-030-88381-2_7
Source records
- crossref · retrieved 2026-09-25T01:05:10.073Z