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A Comprehensive Review on Transforming Security and Privacy with NLP

  • Conference paper
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Cryptology and Network Security with Machine Learning (ICCNSML 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 918))

  • 82 Accesses

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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Authors and Affiliations

  1. Jain University, Bangalore, India

    Rachit Garg

  2. SP Jain School of Global Management, Dubai, UAE

    Anshul Gupta

  3. Amity School of Engineering and Technology Lucknow, Lucknow, India

    Atul Srivastava

Authors
  1. Rachit Garg
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  2. Anshul Gupta
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  3. Atul Srivastava
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Corresponding author

Correspondence to Rachit Garg .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Pranveer Singh Institute of Technology, Kanpur, India

    Atul Chaturvedi

  2. Department of Mathematics, Indian Institute of Technology Jammu, Jammu, India

    Sartaj Ul Hasan

  3. Applied Statistics Unit, Indian Statistical Institute, Kolkata, India

    Bimal Kumar Roy

  4. Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel

    Boaz Tsaban

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Garg, R., Gupta, A., Srivastava, A. (2024). A Comprehensive Review on Transforming Security and Privacy with NLP. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_10

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  • DOI: https://doi.org/10.1007/978-981-97-0641-9_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0640-2

  • Online ISBN: 978-981-97-0641-9

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