SECURE ID VAULT
Mrs. A. Navya (Guide), Computer science & Engineering Department, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, India.
Boddupalli Vijjaya Balajii Veerraj, Computer science & Engineering Department, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, India.
Reddy Seshu, Computer science & Engineering Department, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, India.
Pulamarasetty Dilip Atchuth Kumar, Computer science & Engineering Department, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, India.
Shaik Khaja Asif, Computer science & Engineering Department, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, India.
Pattika Jeevan Pradeep, Computer science & Engineering Department, Raghu Engineering College, Visakhapatnam, Andhra Pradesh, India.
ABSTRACT
Traditional student identity systems rely on direct sharing of personal information through resumes, ID cards, and online platforms, which exposes users to risks such as data leakage, impersonation, and unauthorized access. These systems lack controlled access mechanisms and do not provide a reliable method to verify the authenticity of users or requesting entities.
This paper presents Secure ID Vault, a secure digital identity platform that utilizes a Decentralized Identifier (DID)-based architecture for privacy-preserving identity management. Each student is assigned a unique DID, represented as a QR code within a mobile application. The QR code contains no personal data and acts only as a reference pointer. Upon scanning, the DID is sent to a centralized backend server, which performs validation, verification, and access control before returning only authorized information.
The system incorporates an administrative verification mechanism to authenticate both students and companies, ensuring a trusted ecosystem. Additionally, a secure messaging module is integrated, enabling verified companies to communicate directly with students through controlled backend APIs without exposing personal contact details. A lightweight anomaly detection mechanism is also implemented to identify suspicious activities such as excessive QR scans and invalid DID requests.
The platform is developed using Flutter for the mobile interface, Node.js with Express for backend services, and SQLite for data storage. The proposed system demonstrates improved privacy, controlled data sharing, and secure communication, making it suitable for academic identity management and recruitment environments.
KEYWORDS:
Digital Identity, Decentralized Identifier (DID), QR Code Authentication, Access Control, Identity Verification, Secure Messaging, REST API, Privacy-Preserving Systems
