Semantic Detection of Targeted Attacks Using DOC2VEC Embedding
The targeted attack is one of the social engineering attacks. The detection of this type of attack is considered a challenge as it depends on semantic extraction of the intent of the attacker. However, previous research has primarily relies on the Natural Language Processing or Word Embedding techni...
| Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01001163143/Description |
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| Matična publikacija: |
Journal of communications software and systems (Online) 17 (2021), 4 ; str. 334-341 |
| Glavni autori: | S. El-Rahmany, Mariam (Author), Hussein Mohamed, Ensaf, H. Haggag, Mohamed |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Online pristup: |
https://doi.org/10.24138/jcomss-2021-0113 Elektronička verzija članka Elektronička verzija članka Elektronička verzija članka |