• Dr. Rekha Patil
• Sushmita Patil

Authentication based on passwords is widely used in applications for computer security and privacy. However, human actions such as choosing bad passwords and inputting passwords in an insecure way are considered as the weakest link in the authentication chain. Rather than arbitrary alphanumeric strings, users tend to choose passwords either short or meaningful for easy memorization. With web applications and mobile apps piling up, people can access these applications anytime and anywhere with various devices. This evolution brings great convenience but also increases the probability of exposing passwords to shoulder surfing attacks. Attackers can observe directly or use external recording devices to collect users credentials. To overcome this problem, we proposed a novel authentication system Pass Matrix, based on graphical passwords resisting shoulder surfing attacks. With a one-time valid login indicator and circulative horizontal and vertical bars covering the entire scope of pass-images, Pass Matrix offers no hint for attackers to figure out or narrow down the password even when they conduct multiple camera-based attacks. We also implemented this work in real time by using cloud computing.

Index Terms — Graphical passwords authentication, shoulder surfing attack.

"AN IMPROVED AUTHENTICATION SYSTEM RESISTANT TO SHOULDER SURFING ATTACK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.504-508, June 2019, Available :http://www.jetir.org/papers/JETIR1907373.pdf

"AN IMPROVED AUTHENTICATION SYSTEM RESISTANT TO SHOULDER SURFING ATTACK", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp504-508, June 2019, Available at : http://www.jetir.org/papers/JETIR1907373.pdf