Anomalynet: An Anomaly Detection Network For Video Surveillance

Abstract

The “Secured Digital Voting System” is a robust and 
advanced web-based solution aimed at providing a 
secure, transparent, and tamper-proof voting 
experience. Built using Python (Flask) for the 
backend and MongoDB as a NoSQL database, this 
platform ensures the safe storage of voting records. 
The system is designed to be scalable, user-friendly, 
and resilient against fraudulent activities, 
guaranteeing that each vote is authentic, verifiable, 
and immutable. 
Multi-factor authentication (MFA) is implemented to 
verify the identity of eligible voters, utilizing OTP
based authentication, Aadhaar/ID verification (when 
applicable), and optional biometric verification. A 
unique encrypted token is assigned to each voter 
after successful authentication to prevent duplicate 
voting, and this token is securely stored in the 
database. 
To protect sensitive voter data, the platform 
integrates state-of-the-art encryption (AES-256) and 
hashing techniques (SHA-256, bcrypt), ensuring 
data integrity and security. Digital signatures and 
timestamps are used for vote verification, while 
blockchain technology can be optionally integrated 
to create an immutable, decentralized ledger of 
votes, enhancing transparency and trust. 
The frontend, built with HTML, CSS, and JavaScript, 
offers a user-friendly interface for easy voting. Real
time 
election results are enabled through 
WebSockets 
and AJAX while maintaining 
confidentiality. Role-based access control (RBAC) ensures that only authorized personnel can manage 
elections and monitor results.