USABLE SECURITY IN BIOMETRIC AUTHENTICATION SYSTEMS

2021 ◽  
Vol 17 (1) ◽  
pp. 287-292
Author(s):  
Adriana-Meda UDROIU ◽  
Ștefan-Antonio DAN-ȘUTEU
Keyword(s):  
Iris Recognition ◽  
Accurate Method ◽  
Biometric Authentication ◽  
Usable Security ◽  
Security Systems ◽  
Field Methods ◽  
Secure Systems ◽  
Authentication System ◽  
Secure Authentication ◽  
Pattern Variability

Abstract: We introduce the term usable security to refer to security systems, models, mechanisms and applications that have as the main goal usability. Secure systems cannot exist without secure authentication methods. Thus we outline biometric authentication methods and we focus on iris recognition because is the most reliable and accurate method for human identification]. The most important advantage of iris biometric over other biometrics is that irises have enormous pattern variability meaning that the variation between individual is almost maximum and variation for any person across time or conditions is minimum. Taking into consideration this observations, this survey covers researches in this field, methods of technical implementation and the usability of this method as an authentication system on iOS environment.

scholarly journals Multi-Factor Authentication and Fingerprint-based Debit Card System

2019 ◽  
Vol 5 (2) ◽  
pp. 19-28
Author(s):  
Mubarak Adetunji Ojewale ◽  
Patrick Meumeu Yomsi
Keyword(s):  
Mobile Phone ◽  
Personal Identification ◽  
Biometric Authentication ◽  
Personal Identification Number ◽  
Debit Card ◽  
Automated Teller Machines ◽  
Card System ◽  
Authentication System ◽  
One Time Password ◽  
Secure Authentication

One thing can be said to be common to all forms of debit card fraud – authentication bypass. This implies that a secure debit card transaction system can only be guaranteed by a safe and reliable authentication system. Many approaches have been adopted to ensure a secure authentication system, but often, these approaches are either focused on the Automated Teller Machines (ATM)/Point of Sales (POS) terminals or Online/e-commerce transactions, thus not providing full security on both fronts. In this work, we address this problem by adopting a multi-factor debit card system that uses a combination of the traditional Personal Identification Number code (PIN) and the mobile-phone delivered One-Time Password (OTP) with a biometric authentication option (fingerprint). We demonstrate that this approach ensures the security of both online and terminal transactions. The fingerprint option makes it easy to use by people who find memorizing PINs difficult.

scholarly journals Providing Authentication by Using Biometric Multimodal Framework for Cloud Computing

2015 ◽  
Vol 15 (3) ◽  
pp. 591
Author(s):  
R. Parimala Mala ◽  
C. Jayakumar Kumar
Keyword(s):  
Current Trend ◽  
Ease Of Use ◽  
Biometric Authentication ◽  
Security Systems ◽  
Finger Print ◽  
Multimodal Systems ◽  
Fully Automatic ◽  
Authentication System ◽  
Secret Knowledge ◽  
A Current

Secret knowledge, like remembering password or token based authentication systems are deemed inconvenience and difficult to use for users such as password may be forgotten or token may be lost. So burdens like remembering password and stolen or forged token based authentication have raised a current trend of biometric authentication system. Now in this current tech world, everyone needs security everywhere to protect our personal gadgets.  So to keep it secured, biometric based approach can be applied for better convenience and ease of use for the user. In this paper, a novel hybrid multimodal approach for ear recognition and finger print recognition has been presented for better robustness and efficiency which can be applied in various fields of applications like authentication in banking transactions. Biometric based human recognition is rapidly gaining popularity due to breached of traditional security systems and the lowering cost of sensors. This paper comprehensively reviews multimodal recognition using ear pattern and finger print data, it is concluded that further research should investigate fast and fully automatic ear-finger print multimodal systems robust to occlusions and deformations.

Keystroke Dynamics Authentication in Cloud Computing

2019 ◽  
pp. 923-945
Author(s):  
Basma Mohammed Hassan ◽  
Khaled Mohammed Fouad ◽  
Mahmoud Fathy Hassan
Keyword(s):  
Cloud Computing ◽  
Identification System ◽  
Biometric Authentication ◽  
Keystroke Dynamics ◽  
Security Systems ◽  
Security Issues ◽  
Study Results ◽  
Authentication System ◽  
Software And Hardware ◽  
Unique Style

Cloud computing needs a strong and efficient authentication system because the user will access his rented part through a faraway connection and it will make the authentication sensor device besides the user place for identification and verification so how to know the user who claimed himself to be the legal user. Keystroke identification system as a biometric authentication technique is strongly Candidate for the security issues in cloud computing technology. Keystroke dynamics as a security system did not need extra hardware because the authentication device will be the existing keyboard based on everyone has a unique style for writing. The other biometric methods are addressed with each advantage and disadvantage along with keystroke method. In this paper, all known studies about keystroke technique are explained and compared between them according to the classification technique, number of the participated users and each study results then introduces a survey on software and hardware of other biometric authentication techniques and after the literature review is addressed then keystroke as a biometric authentication system is suggested to access cloud computing environment because it has many advantages to being a part of the known security systems which spread in our world.

scholarly journals Secure Authentication with Iris using Hamming Distance

2019 ◽  
Vol 8 (4) ◽  
pp. 4787-4790
Keyword(s):  
Pattern Matching ◽  
Iris Recognition ◽  
Hamming Distance ◽  
Behavioral Characteristics ◽  
Biometric Authentication ◽  
Previous Knowledge ◽  
Unique Identifier ◽  
Automated Recognition ◽  
Feature Encoding ◽  
Secure Authentication

Biometrics authentication is the automated recognition of physiological or behavioral characteristics of a person without any previous knowledge. It adds a unique identifier and it is extremely difficult to duplicate. One of the most unique biometric authentication structures is iris pattern. It is the most solid and exact distinguishing proof structure existing around. The exhibition of this acknowledgment framework can be estimated with quality and acknowledgment rate. In the proposed work, iris code were generated by the processing the iris image by applying preprocessing, gaber filter, normalization, feature encoding by Fast Fourier Transform and then Hamming distance was used for pattern matching. The overall success rate shows that iris recognition is a reliable and accurate biometric authentication

Keystroke Dynamics Authentication in Cloud Computing

2015 ◽  
Vol 11 (4) ◽  
pp. 99-120 ◽  
Author(s):  
Basma Mohammed Hassan ◽  
Khaled Mohammed Fouad ◽  
Mahmoud Fathy Hassan
Keyword(s):  
Cloud Computing ◽  
Identification System ◽  
Biometric Authentication ◽  
Keystroke Dynamics ◽  
Security Systems ◽  
Cloud Computing Environment ◽  
Security Issues ◽  
Study Results ◽  
Authentication System ◽  
Unique Style

Cloud computing needs a strong and efficient authentication system because the user will access his rented part through a faraway connection and it will make the authentication sensor device besides the user place for identification and verification so how to know the user who claimed himself to be the legal user. Keystroke identification system as a biometric authentication technique is strongly Candidate for the security issues in cloud computing technology. Keystroke dynamics as a security system did not need extra hardware because the authentication device will be the existing keyboard based on everyone has a unique style for writing. The other biometric methods are addressed with each advantage and disadvantage along with keystroke method. In this paper, all known studies about keystroke technique are explained and compared between them according to the classification technique, number of the participated users and each study results then introduces a survey on software and hardware of other biometric authentication techniques and after the literature review is addressed then keystroke as a biometric authentication system is suggested to access cloud computing environment because it has many advantages to being a part of the known security systems which spread in our world.

Biometric authentication system using EEG biometric trait – A review

2021 ◽  
Author(s):  
Fatin Atiqah Rosli ◽  
Saidatul Ardeenawatie Awang ◽  
Azian Azamimi Abdullah ◽  
Mohammad Shahril Salim
Keyword(s):  
Biometric Authentication ◽  
Authentication System ◽  
Biometric Trait
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