A Comprehensive Review on Transforming Security and Privacy with NLP
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0641-9_10
Reference34 articles.
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2. Georgescu T-M (2020) Natural language processing model for automatic analysis of cybersecurity-related documents. Symmetry (Basel) 12(3):354. https://doi.org/10.3390/sym12030354
3. Sarker IH, Furhad MH, Nowrozy R (2021) AI-driven cybersecurity: an overview, security intelligence modeling and research directions. SN Comput. Sci. 2(3):173. https://doi.org/10.1007/s42979-021-00557-0
4. Behera RK, Bala PK, Rana NP, Irani Z (2023) Responsible natural language processing: a principlist framework for social benefits. Technol Forecast Soc Change 188:122306. https://doi.org/10.1016/j.techfore.2022.122306
5. Feng Q, He D, Liu Z, Wang H, Choo K-KR (2020) SecureNLP: a system for multi-party privacy-preserving natural language processing. IEEE Trans Inf Forensics Secur 15:3709–3721. https://doi.org/10.1109/TIFS.2020.2997134
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