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- W2765707988 abstract "In this paper, we survey different authentication schemes for graphical passwords utilized in online services. Click-based graphical password scheme is used to garner click-points or pixel-points from users and to portend the hotspots. CAPTCHA scheme gives protection against spyware attacks. In the case of Face DCAPTCHA scheme, the users must recognize visually-distorted human faces from complex images in an accurate manner. A Password Guessing Resistant Protocol (PGRP) can limit large number of login attempts from unknown remote hosts to resist large-scale online password guessing attacks. An Image Recognition CAPTCHA (IRC) called Cortcha is designed to provide protection against machine learning attacks. In the Pass-Go scheme, the user has to select PassPoints on a grid to input the password. Creation of cryptographic primitives makes the graphical passwords invisible to attackers and hackers. A Hotspot or a PassPoint in an image can be generated as a Captcha as gRaphical Passwords (CaRP) image, which is our proposed work, for reducing security problems occurred by online password guessing attacks, relay attacks, dictionary attacks and shoulder-surfing attacks." @default.
- W2765707988 created "2017-11-10" @default.
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- W2765707988 date "2017-02-01" @default.
- W2765707988 modified "2023-09-26" @default.
- W2765707988 title "Analysis of various authentication schemes for passwords using images to enhance network security through online services" @default.
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- W2765707988 doi "https://doi.org/10.1109/icices.2017.8070717" @default.
- W2765707988 hasPublicationYear "2017" @default.
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