A Survey on Graphical Authentication System Resisting Shoulder Surfing Attack

Author(s):  
S. Arun Kumar ◽  
R. Ramya ◽  
R. Rashika ◽  
R. Renu
2018 ◽  
Vol 15 (2) ◽  
pp. 180-193 ◽  
Author(s):  
Hung-Min Sun ◽  
Shiuan-Tung Chen ◽  
Jyh-Haw Yeh ◽  
Chia-Yun Cheng

2019 ◽  
Vol 20 (1) ◽  
pp. 101-112 ◽  
Author(s):  
Pankhuri . ◽  
Akash Sinha ◽  
Gulshan Shrivastava ◽  
Prabhat Kumar

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.


2018 ◽  
Vol 7 (1.7) ◽  
pp. 169
Author(s):  
Rupavathy N ◽  
Carmel Mary Belinda M. J ◽  
Nivedhitha G

Authentication supported passwords is employed mostly in applications for laptop security and privacy. However, human actions like selecting unhealthy passwords and inputting passwords in an insecure approach are considered “the weakest link” within the authentication chain. Instead of impulsive alphanumerical strings, users tend to decide on passwords either short or purposeful for simple learning. With internet applications and mobile apps piling up, individuals will access these applications any time and any place with  numerous devices. This evolution brings nice convenience however additionally will increase the chance of exposing passwords to shoulder surfing attacks. Attackers will observe directly or use external recording devices to gather users’ credentials. To overcome this drawback, we tend to plan a unique authentication system Pass Matrix, supported graphical passwords to resist shoulder surfing attacks. With a one-time valid login indicator and circulatory horizontal and vertical bars covering the  complete scope of pass-images, Pass Matrix offers no hint for attackers to work out or slim down the password even they conduct multiple camera-based attacks. We tend to additionally enforce a Pass Matrix image on android and applied real user experiments to judge   its memorability and usefulness. From the experimental result, the proposed system achieves higher resistance shoulder surfing attacks whereas maintaining usability.


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