DPAC: A Reuse-Oriented Password Authentication Framework for Improving Password Security

2008 ◽  
Author(s):  
Hua Wang ◽  
Yao Guo ◽  
Xiangqun Chen
Keyword(s):  
Password Authentication ◽  
Password Security

scholarly journals AcSIS: Authentication System Based on Image Splicing

2019 ◽  
Vol 9 (5) ◽  
pp. 4808-4812
Author(s):  
S. Hamid ◽  
N. Z. Bawany ◽  
S. Khan
Keyword(s):  
Success Rate ◽  
Brute Force ◽  
Image Splicing ◽  
Password Authentication ◽  
Trade Off ◽  
Graphical Passwords ◽  
Password Security ◽  
Authentication System ◽  
Digital Assets ◽  
Dictionary Attacks

Text-based passwords are widely used for the authentication of digital assets. Typically, password security and usability is a trade-off, i.e. easy-to-remember passwords have higher usability that makes them vulnerable to brute-force and dictionary attacks. Complex passwords have stronger security but poor usability. In order to strengthen the security in conjunction with the improved usability, we hereby propose a novel graphical authentication system. This system is a picture-based password scheme which comprises of the method of image splicing. Authentication data were collected from 33 different users. The usability of the method was evaluated via a comparison between the number of correct and incorrect authentication attempts and time taken. Additionally, a comparison was made between our proposed method and a complex text-based password authentication method using the authentication success rate. Authentication using image splicing proved to be resilient to brute-force attacks since the processing of images consumes a voluminous password space. The evaluation of the usability revealed that graphical passwords were easy-to-remember, resulting in a higher number of correct attempts. The proposed method produced 50% higher success rate compared to the text-based method. Findings motivate the use of the proposed method for securing digital assets.

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 Comparison on KOREAN Password / Authentication Policy and Other Countries

J-Institute ◽  
2018 ◽  
Vol 3 (2) ◽  
pp. 6-13
Author(s):  
Kyeong-joo Jung ◽  
◽  
Simon Woo ◽  
Keyword(s):  
Password Authentication

User password repetitive patterns analysis and visualization

2016 ◽  
Vol 24 (1) ◽  
pp. 93-115 ◽  
Author(s):  
Xiaoying Yu ◽  
Qi Liao
Keyword(s):  
Security Policy ◽  
Large Data ◽  
Efficient Algorithms ◽  
Privacy And Security ◽  
Data Set ◽  
Web Based ◽  
Content Type ◽  
Word Cloud ◽  
Individual Privacy ◽  
Password Security

Purpose – Passwords have been designed to protect individual privacy and security and widely used in almost every area of our life. The strength of passwords is therefore critical to the security of our systems. However, due to the explosion of user accounts and increasing complexity of password rules, users are struggling to find ways to make up sufficiently secure yet easy-to-remember passwords. This paper aims to investigate whether there are repetitive patterns when users choose passwords and how such behaviors may affect us to rethink password security policy. Design/methodology/approach – The authors develop a model to formalize the password repetitive problem and design efficient algorithms to analyze the repeat patterns. To help security practitioners to analyze patterns, the authors design and implement a lightweight, Web-based visualization tool for interactive exploration of password data. Findings – Through case studies on a real-world leaked password data set, the authors demonstrate how the tool can be used to identify various interesting patterns, e.g. shorter substrings of the same type used to make up longer strings, which are then repeated to make up the final passwords, suggesting that the length requirement of password policy does not necessarily increase security. Originality/value – The contributions of this study are two-fold. First, the authors formalize the problem of password repetitive patterns by considering both short and long substrings and in both directions, which have not yet been considered in past. Efficient algorithms are developed and implemented that can analyze various repeat patterns quickly even in large data set. Second, the authors design and implement four novel visualization views that are particularly useful for exploration of password repeat patterns, i.e. the character frequency charts view, the short repeat heatmap view, the long repeat parallel coordinates view and the repeat word cloud view.

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