scholarly journals A New Graphical Password Scheme Resistant to Shoulder-Surfing

2010 ◽  
Author(s):  
Haichang Gao ◽  
Zhongjie Ren ◽  
Xiuling Chang ◽  
Xiyang Liu ◽  
Uwe Aickelin
Keyword(s):  
Graphical Password ◽  
Shoulder Surfing

Security and Verification of Server Data Using Frequent Itemset Mining in Ecommerce

2017 ◽  
Vol 8 (1) ◽  
pp. 31-43
Author(s):  
Zuber Shaikh ◽  
Antara Mohadikar ◽  
Rachana Nayak ◽  
Rohith Padamadan
Keyword(s):  
Data Mining ◽  
Frequent Itemsets ◽  
Frequent Itemset ◽  
Graphical Password ◽  
Itemset Mining ◽  
Frequent Item ◽  
Data Mining Algorithms ◽  
Shoulder Surfing ◽  
Mining Algorithms ◽  
Frequent Item Sets

Frequent itemsets refer to a set of data values (e.g., product items) whose number of co-occurrences exceeds a given threshold. The challenge is that the design of proofs and verification objects has to be customized for different data mining algorithms. Intended method will implement a basic idea of completeness verification and authentication approach in which the client will uses a set of frequent item sets as the evidence, and checks whether the server has missed any frequent item set as evidence in its returned result. It will help client detect untrusted server and system will become much more efficiency by reducing time. In authentication process CaRP is both a captcha and a graphical password scheme. CaRP addresses a number of security problems altogether, such as online guessing attacks, relay attacks, and, if combined with dual-view technologies, shoulder-surfing attacks.

scholarly journals A Pattern-Based Multi-Factor Authentication System

2019 ◽  
Vol 20 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Pankhuri . ◽  
Akash Sinha ◽  
Gulshan Shrivastava ◽  
Prabhat Kumar
Keyword(s):  
Artificial Intelligence ◽  
User Authentication ◽  
Authentication Scheme ◽  
Brute Force ◽  
Security Attacks ◽  
Graphical Password ◽  
Efficient Strategy ◽  
Shoulder Surfing ◽  
Different Types ◽  
Authentication System

User authentication is an indispensable part of a secure system. The traditional authentication methods have been proved to be vulnerable to different types of security attacks. Artificial intelligence is being applied to crack textual passwords and even CAPTCHAs are being dismantled within few attempts. The use of graphical password as an alternate to the textual passwords for user authentication can be an efficient strategy. However, they have been proved to be susceptible to shoulder surfing like attacks. Advanced authentication systems such as biometrics are secure but require additional infrastructure for efficient implementation. This paper proposes a novel pattern-based multi-factor authentication scheme that uses a combination of text and images resulting for identifying the legitimate users. The proposed system has been mathematically analyzed and has been found to provide much larger password space as compared to simple text based passwords. This renders the proposed system secure against brute force and other dictionary based attacks. Moreover, the use of text along with the images also mitigates the risk of shoulder surfing.

scholarly journals Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Zhili Zhou ◽  
Ching-Nung Yang ◽  
Yimin Yang ◽  
Xingming Sun
Keyword(s):  
Human Brain ◽  
Identity Authentication ◽  
Long Term Memory ◽  
Cloud Environment ◽  
Term Memory ◽  
Specific Location ◽  
Graphical Password ◽  
Graphical Passwords ◽  
Shoulder Surfing

Text password systems are commonly used for identity authentication to access different kinds of data resources or services in cloud environment. However, in the text password systems, the main issue is that it is very hard for users to remember long random alphanumeric strings due to the long-term memory limitation of the human brain. To address this issue, graphical passwords are accordingly proposed based on the fact that humans have better memory for images than alphanumeric strings. Recently, a Google map graphical password (GMGP) system is proposed, in which a specific location of Google Map is preset as a password for authentication. Unfortunately, the use of graphical passwords increases the risk of exposing passwords under shoulder-surfing attacks. A snooper can easily look over someone’s shoulder to get the information of a location on map than a text password from a distance, and thus the shoulder-surfing attacks are more serious for graphical passwords than for text passwords. To overcome this issue, we design a polynomial-based Google map graphical password (P-GMGP) system. The proposed P-GMGP system can not only resist the shoulder-surfing attacks effectively, but also need much fewer challenge-response rounds than the GMGP system for authentication. Moreover, the P-GMGP system is extended to allow a user to be authenticated in cloud environment effectively and efficiently.

scholarly journals A Survey Paper on Authentication for Shoulder Surfing Resistance for Graphical Password using Cued Click Point (CCP)

IJARCCE ◽  
2017 ◽  
pp. 265-267 ◽  
Author(s):  
Monali Pawar ◽  
Prof. Mate G.S ◽  
Soni Sharma ◽  
Sonam Gole ◽  
Snehal Patil
Keyword(s):  
Graphical Password ◽  
Survey Paper ◽  
Shoulder Surfing
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