Paper Details

The authentication based on the passwords is used mostly in applications for the computer security andprivacy. However, the human actions such as selecting less secured passwords credentials and inputting passwords in aninsecure way are considered ”the weakest link” within the authentication chain. Instead of arbitrary alphanumericstrings, users tend to select passwords either short or purposeful for simple memorization. With internet applications andmobile apps pile up, individuals will access these applications anywhere and anytime with different devices. Thisevolution brings good convenience however it will increases the probability of exposing passwords credentials toshoulder surfing attacks. Attackers will observe directly or use external recording devices to get users’ credentials. Toovercome this issue, proposed a novel authentication system named PassMatrix, which is based on graphical passwordsto resist shoulder surfing attacks. With a one-time valid login indicator and change of location horizontal and verticalbars covering the complete scope of pass-images, PassMatrix offers no hint for attackers to work out or narrow down thepassword even they conduct multiple camera-based attacks. Implemented a PassMatrix prototype on web applicationsand allotted real user experiments to describee its memorability and usefulness. From the experimental result, is shownthat, the proposed system achieves better resistance to shoulder surfing attacks whereas maintaining usability.

Priyanka Karale, Snehal Shinde, Ashwini Sandbhor, Vaishnavi Ramekar, Prof. Deepak Gupta, “PassMatrix: Graphical Based Authentication System for Shoulder Surfing Attack Resistant”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 6, pp. 13-19, June 2017.