An efficient multi-factor authentication scheme based CNNs for securing ATMs over cognitive-IoT
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 l...
Main Authors: | Ahmed Shalaby, Ramadan Gad, Ezz El-Din Hemdan, Nawal El-Fishawy |
---|---|
Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2021-03-01
|
Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-381.pdf |
Similar Items
-
An Efficient BGV-type Encryption Scheme for IoT Systems
by: Wei Yuan, et al.
Published: (2020-08-01) -
Homomorphic Encryption on the IoT
by: Wang, Han
Published: (2018) -
EC-ElGamal and Genetic Algorithm-Based Enhancement for Lightweight Scalable Blockchain in IoT Domain
by: J. Guruprakash, et al.
Published: (2020-01-01) -
Substring-searchable attribute-based encryption and its application for IoT devices
by: Xi Sun, et al.
Published: (2021-05-01) -
Certificateless Multi-Party Authenticated Encryption for NB-IoT Terminals in 5G Networks
by: Yinghui Zhang, et al.
Published: (2019-01-01)