N. Arpitha, S. Deepika, K. Sujith, Ravula Hari Krishna, Korra Sai Kiran 02 08 In India data breaches and unauthorized access to sensitive files have surged with over 700 million digital records compromised in the last decade Manual filesharing methods remain prevalent in sectors like healthcare and legal services where confidentiality is paramount The objective is to develop a secure biometricenabled filesharing system using ECIES and ChaCha20 encryption to ensure user authentication protect data confidentiality and evaluate encryption performance in realtime In traditional manual filesharing systems sensitive documents are exchanged via physical media eg USB drives or unsecured email Access is typically controlled through basic passwords or by physical custody There is no integrated encryption mechanism and files remain vulnerable to unauthorized access theft or loss Authentication relies on easily compromised credentials and there is no performance benchmarking for applied cryptographic methods Manual systems suffer from weak authentication relying solely on passwords that can be guessed or stolen File transmission is unsecured and once data is leaked its irretrievable Access control is poorly enforced and no encryption ensures content confidentiality Furthermore theres no mechanism to track or benchmark encryption performance limiting scalability and trust in sensitive environments The research aims to overcome limitations of manual systems by introducing multifactor authentication using fingerprint hashing and integrating realtime encryption performance evaluation The proposed system integrates ECIES and ChaCha20 to provide a secure performanceoptimized filesharing platform Upon registration users submit SHA256hashed usernames and fingerprint images to enable biometric login Uploaded files are encrypted using ECIES with the users public key to ensure only authorized decryption Simultaneously ChaCha20 encrypts the file to benchmark speed revealing that it outperforms ECIES for large files All metadataowner filename and access typeis stored in a MySQL database and access is controlled per file Realtime graphing with Matplotlib compares encryption speeds allowing administrators to make informed choices This hybrid approach ensures strong security and operational efficiency Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026