Redacting Personal Identifiable Information Using Machine Learning

Registration ID: IJNRD_220626

Published ID: IJNRD2405304

DOI: Click Here to Get

Aarush Verma , Bhavik Bardia , Lokesh Talluri , Yashwi J Rai , Mr. Raghavendra K.

Machine Learning,Natural Language Processing, Deep Learning,Named Entity Recognition,spaCy.

Data privacy is increasingly crucial due to the constant occurrence of data breaches. It is imperative to redact personal, sensitive and confidential information from documents to mitigate risks. There have been many cases from past years of data breaches from various popular companies. When the data contains sensitive information, these leaks pose a serious threat. The traditional approach of manually finding and matching millions of words and then redacting is slow and vulnerable. This paper deals with safeguarding of personal identifiable information (PII) in documents by using machine learning techniques for automated redaction. Our machine learning model will be trained on diverse datasets, enabling it to recognize various forms of PII such as names, addresses and identification numbers, across different document types. Thereafter, the information that is identified as PII is redacted. Additionally, the implementation includes a user-friendly interface, allowing users to customize redaction criteria and maintain control over the redaction process.

Published Paper   E-Certificate

Aarush Verma, Bhavik Bardia, Lokesh Talluri, Yashwi J Rai, & Mr. Raghavendra K. (May-2024). Redacting Personal Identifiable Information Using Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), d20-d24. https://ijnrd.org/papers/IJNRD2405304.pdf

Volume 9 Issue 5, May-2024

Pages : d20-d24

Paper Reg. ID: IJNRD_220626

Published Paper Id: IJNRD2405304

Downloads: 000121987

Research Area: Computer Engineering 

Country: Shimoga, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405304.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405304

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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