STClass: A Method for Determining the Sensitivity of Documents
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-89820-5_11
Reference28 articles.
1. Berardi, G., Esuli, A., Macdonald, C., Ounis, L., Sebastiani, F.: Semi-automated text classification for sensitivity identification. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management. ACM, pp. 1711–1714, (2015)
2. Alzhrani, K., Ruddy, E., Chow, C., Boulty, T.: Automated U.S diplomatic cables security classification: topic model pruning vs. classification based on clusters. In: Proceedings of the 2017 IEEE International Symposium on Technologies for Homeland Security (HST), pp. 1–6, (2017)
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4. Salahdine, F., Kaabouch, N.: Social engineering attacks: a survey. Future Internet, 11(4), 89 (2019)
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