An efficient and secure fingerprint identification technique by utilizing cloud computing
V Durga, B. Sreenivasulu, Sindhe Phani Kumar · AIP conference proceedings · 2024
Through the quick development in the advancement of smart devices outfitted with biometric sensors, user distinguishing proof framework utilizing biometric attributes is broadly received across different applications.Finger impressionbased recognition systems have been widely considered and introduced, among other biometric qualities.Nonetheless, to receive biometric identification systems in useful applications, two fundamental obstructions regarding proficiency and customer protection should be settled all the while.That is, identification must be completed in a reasonable amount of time, and only a client can approach his or her biometric attributes, which are irreversible once spilled.As of recently, various examinations have shown effective insurance of client biometric information; in any case, such systems need productivity that prompts unnecessary time usage for ID.The most as of late explored plot shows proficiency upgrades however uncovers client biometric qualities to different substances, for example, biometric database server.This is a violation of the client's confidentiality.In this paper, we recommend a cloud-based finger impression identification method that is both efficient and safe.The proposed scheme build extensive use of a cloud's calculation capacity, with the cloud service provider performing a significant portion of the complicated calculations.The proposed scheme, According to our tests on an Amazon EC2 cloud, it is quicker than current plans and uses symmetric homomorphic encryption to ensure client protection.According to our security review, the user fingerprint data is not exposed to the cloud service provider or the finger impression database during identification.