An efficient multi-factor authentication scheme based CNNs for securing ATMs over cognitive-IoT.

ABSTRACT: Nowadays, the identity verification of banks' clients at Automatic Teller Machines (ATMs) is a very critical task. Clients' money, data, and crucial information need to be highly protected. The classical ATM verification method using a combination of credit card and password has a lot of drawbacks like Burglary, robbery, expiration, and even sudden loss. Recently, iris-based security plays a vital role in the success of the Cognitive Internet of Things (C-IoT)-based security framework. The iris biometric eliminates many security issues, especially in smart IoT-based applications, principally ATMs. However, integrating an efficient iris recognition system in critical IoT environments like ATMs may involve many complex scenarios. To address these issues, this article proposes a novel efficie

SUBMITTER: Shalaby A 

PROVIDER: S-EPMC7959630 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature