PII Aegis: A PII detection tool for government document

Author(s)	Tejaswini S, Akshitha Katkeri, Tanisha N, Spoorthy Anni
Country	India
Abstract	The detection and secure storage of personally identifiable information (PII) in government-issued documents, such as PAN cards, is a crucial aspect of digital security. This project presents a deep learning-based approach using Convolutional Neural Networks (CNN) and YOLOv8 for the detection of real and fake PAN cards. The system allows users to upload a PAN card image, which is then analyzed for authenticity. If the card is real, the detected PII is annotated using YOLOv8. To ensure privacy, the system incorporates base64 encryption for redaction and utilizes blockchain for secure storage. Users can later retrieve and decrypt the image using a transaction hash, ensuring secure access to stored information. The integration of deep learning and blockchain provides a robust and reliable solution for PII protection in government documents
Field	Computer > Network / Security
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-04-15
Cite This	PII Aegis: A PII detection tool for government document - Tejaswini S, Akshitha Katkeri, Tanisha N, Spoorthy Anni - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3565
DOI	https://doi.org/10.71097/IJSAT.v16.i2.3565
Short DOI	https://doi.org/g9fmw4

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology