scholarly journals Security Analysis on Password Authentication System of Web Portal

2014 ◽  
Author(s):  
Heekyeong Noh ◽  
Changkuk Choi ◽  
Minsu Park ◽  
Jaeki Kim ◽  
Seungjoo Kim
Keyword(s):  
Security Analysis ◽  
Web Portal ◽  
Password Authentication ◽  
Authentication System

scholarly journals Security Analysis on Password Authentication System of Web Sites

2014 ◽  
Vol 3 (12) ◽  
pp. 463-478 ◽  
Author(s):  
Heekyeong Noh ◽  
Changkuk Choi ◽  
Minsu Park ◽  
Seungjoo Kim
Keyword(s):  
Web Sites ◽  
Security Analysis ◽  
Password Authentication ◽  
Authentication System

Blacklisted Password Authentication System

2019 ◽  
Vol 7 (6) ◽  
pp. 633-635
Author(s):  
Payal . ◽  
Suman Sangwan ◽  
Arun Malik
Keyword(s):  
Password Authentication ◽  
Authentication System

Security Analysis Method of Recognition-Based Graphical Password

2015 ◽  
Vol 72 (5) ◽  
Author(s):  
Touraj Khodadadi ◽  
Mojtaba Alizadeh ◽  
Somayyeh Gholizadeh ◽  
Mazdak Zamani ◽  
Mahdi Darvishi
Keyword(s):  
Security Analysis ◽  
Security Level ◽  
Analysis Method ◽  
New Approach ◽  
Graphical Password ◽  
Graphical Passwords ◽  
Authentication System

One of the most important primitive security mechanisms is the authentication system. Authentication through the use of password is a commonly utilized mechanism for authentication of users. In general, users utilize characters as their password; however, passwords based on texts are hard to recall and if the passwords are too simple and predictable, then there is the danger of being susceptible to threats. In order to overcome the problems with authentication, an alternative and new approach has been introduced utilizing images for passwords. The idea gains support from the knowledge that the human’s brain is highly capable of remembering many detailed images, however remembering texts are more difficult. Users who utilize the graphic authentication carry out certain functions on the images such as to click, drag, and movement of the mouse and so on. This research reviews several common Recognition-Based graphical password methods and analyzes their security based on the estimation criteria. Moreover, the research defines a metric that would make it possible for the analysis of the security level of the graphical passwords that are Recognition-Based. Finally, a table comparing the limits of each method based on the security level is presented. 

scholarly journals Mechanism for the prevention of password reuse through Anonymized Hashes

2017 ◽  
Author(s):  
Junade Ali
Keyword(s):  
User Authentication ◽  
Third Party ◽  
The Internet ◽  
Password Authentication ◽  
Security Issues ◽  
The Us ◽  
Authentication System ◽  
Gain Access

Password authentication is an essential and widespread form of user authentication on the Internet with no other authentication system matching its dominance. When a password on one website is breached, if reused, the stolen password can be used to gain access to multiple other authenticated websites. Even amongst technically educated users, the security issues surrounding password reuse are not well understood and restrictive password composition rules have been unsuccessful in reducing password reuse. In response, the US NIST have published standards outlining that, when setting passwords, authentication systems should validate that user passwords have not already been compromised or breached. We propose a mechanism to allows for clients to anonymously validate whether or not a password has been identified in a compromised database, without needing to download the entire database or send their password to a third-party service. A mechanism is proposed whereby password hash data is generalized such that it holds the k-anonymity property. An implementation is constructed to identify to what extent the data should be generalized for it to hold k-anonymity and additionally to group password hashes by their generalized anonymous value. The implementation is run on a database of over 320 million leaked passwords and the results of the anonymization process are considered.

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