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2024 | OriginalPaper | Buchkapitel

A Comprehensive Review on Transforming Security and Privacy with NLP

verfasst von : Rachit Garg, Anshul Gupta, Atul Srivastava

Erschienen in: Cryptology and Network Security with Machine Learning

Verlag: Springer Nature Singapore

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Abstract

The revolutionary field of natural language processing has broad implications for privacy and safety. This article reviews the wide range of natural language processing uses for privacy protection. Through a systematic literature review, we identify the most important natural language processing approaches employed for various forms of security, such as phishing email detection, cyberthreat analysis, anomaly detection, and privacy-aware text processing. We also discuss the moral issues that must be taken into account while implementing NLP, including defenses against adversarial assaults, good AI protocol, and safeguards for personal data. While examining the possible benefits and hazards of NLP systems, the study emphasizes the significance of responsible and ethical use. The future scope is also discussed to strengthen NLP’s utilization in the domain of privacy and security in data-driven era. This study is of related interest to researchers, practitioners, and policymakers in learning about natural language processing and how it relates to security and privacy.

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Titel: A Comprehensive Review on Transforming Security and Privacy with NLP
verfasst von: Rachit Garg
Anshul Gupta
Atul Srivastava
Verlag: Springer Nature Singapore
Buch: Cryptology and Network Security with Machine Learning
Print ISBN: 978-981-9706-40-2

Electronic ISBN: 978-981-9706-41-9

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-97-0641-9_10

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