Advanced Authentication System with Fraud Resistant Features
Rahul, Ramakrishnan, J. Albert Mayan, Ashok Kumar K, S. Dhamodaran · 2024
A novel technique for verifying signatures and certificates is introduced in this abstract with the goal of enhancing authentication and detecting fraud more effectively. There is a greater chance of identity theft and fraudulent activities due to the fact that conventional ways of confirming signatures and certificates are becoming less effective as technology advances. In order to overcome these obstacles, our system employs state-of-the-art technology like AI and machine learning algorithms to improve the precision and effectiveness of the verification procedure. In order to validate documents and swiftly identify any fraud attempts, the proposed approach examines information, trends, and abnormalities in digital certificates and signatures. Additionally, the proposed solution utilizes blockchain technology to minimize the possibility of manipulation or tampering by ensuring the immutability and transparency of validated certificates and signatures. The proposed technology enhances user experience and convenience by offering an interface that is easy to use and supporting the integration of current authentication systems. After undergoing rigorous testing and assessment, the proposed system has shown to be an effective and dependable option for verifying signatures and certificates. The proposed signature and certificate verification system includes sophisticated tools to fight fraud and identity theft, giving businesses and people a safe and effective way to verify their identities.