The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform
R. Kirushnaamoni - One of the best experts on this subject based on the ideXlab platform.
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Defenses to curb online Password guessing attacks
2013 International Conference on Information Communication and Embedded Systems (ICICES), 2013Co-Authors: R. KirushnaamoniAbstract:Passwords are the most commonly used means of authentication as Passwords are very convenient for users, easier to implement and user friendly. Password based systems suffer from two types of attacks: i) offline attacks ii) online attacks. Eavesdropping the communication channel and recording the conversations taking place on the communication channel is an example for offline attack. Brute force and dictionary attacks are the two types of online attacks which are widespread and increasing. Enabling convenient login for legitimate users while preventing such attacks is a difficult problem. The proposed protocol called Password Guessing Resistant Protocol (PGRP), helps in preventing such attacks and provides a pleasant login experience for legitimate users. PGRP limits the number of login attempts for unknown users to one, and then challenges the unknown user with an Automated Turing Test (ATT). There are different kinds of ATT tests such as CAPTCHA (Completely Automated Public Turing Test to tell Computers and Humans Apart), security questions etc. In this system, a distorted text-based CAPTCHA is used. If the ATT test is correctly answered, the user is granted access else the user is denied access. The proposed algorithm analyzes the efficiency of PGRP based on three conditions: i) number of successful login attempts ii) number of failed login attempts with Invalid Password iii) number of failed login attempts with Invalid Password and ATT test. PGRP log files are used as data sets. The analysis helps in determining the efficiency of PGRP protocol.
Nasir Memon - One of the best experts on this subject based on the ideXlab platform.
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passpoints design and longitudinal evaluation of a graphical Password system
International Journal of Human-computer Studies \ International Journal of Man-machine Studies, 2005Co-Authors: Susan Wiedenbeck, Jim Waters, Jeancamille Birget, Alex Brodskiy, Nasir MemonAbstract:Computer security depends largely on Passwords to authenticate human users. However, users have difficulty remembering Passwords over time if they choose a secure Password, i.e. a Password that is long and random. Therefore, they tend to choose short and insecure Passwords. Graphical Passwords, which consist of clicking on images rather than typing alphanumeric strings, may help to overcome the problem of creating secure and memorable Passwords. In this paper we describe PassPoints, a new and more secure graphical Password system. We report an empirical study comparing the use of PassPoints to alphanumeric Passwords. Participants created and practiced either an alphanumeric or graphical Password. The participants subsequently carried out three longitudinal trials to input their Password over the course of 6 weeks. The results show that the graphical Password users created a valid Password with fewer difficulties than the alphanumeric users. However, the graphical users took longer and made more Invalid Password inputs than the alphanumeric users while practicing their Passwords. In the longitudinal trials the two groups performed similarly on memory of their Password, but the graphical group took more time to input a Password.
Susan Wiedenbeck - One of the best experts on this subject based on the ideXlab platform.
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passpoints design and longitudinal evaluation of a graphical Password system
International Journal of Human-computer Studies \ International Journal of Man-machine Studies, 2005Co-Authors: Susan Wiedenbeck, Jim Waters, Jeancamille Birget, Alex Brodskiy, Nasir MemonAbstract:Computer security depends largely on Passwords to authenticate human users. However, users have difficulty remembering Passwords over time if they choose a secure Password, i.e. a Password that is long and random. Therefore, they tend to choose short and insecure Passwords. Graphical Passwords, which consist of clicking on images rather than typing alphanumeric strings, may help to overcome the problem of creating secure and memorable Passwords. In this paper we describe PassPoints, a new and more secure graphical Password system. We report an empirical study comparing the use of PassPoints to alphanumeric Passwords. Participants created and practiced either an alphanumeric or graphical Password. The participants subsequently carried out three longitudinal trials to input their Password over the course of 6 weeks. The results show that the graphical Password users created a valid Password with fewer difficulties than the alphanumeric users. However, the graphical users took longer and made more Invalid Password inputs than the alphanumeric users while practicing their Passwords. In the longitudinal trials the two groups performed similarly on memory of their Password, but the graphical group took more time to input a Password.
Jim Waters - One of the best experts on this subject based on the ideXlab platform.
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passpoints design and longitudinal evaluation of a graphical Password system
International Journal of Human-computer Studies \ International Journal of Man-machine Studies, 2005Co-Authors: Susan Wiedenbeck, Jim Waters, Jeancamille Birget, Alex Brodskiy, Nasir MemonAbstract:Computer security depends largely on Passwords to authenticate human users. However, users have difficulty remembering Passwords over time if they choose a secure Password, i.e. a Password that is long and random. Therefore, they tend to choose short and insecure Passwords. Graphical Passwords, which consist of clicking on images rather than typing alphanumeric strings, may help to overcome the problem of creating secure and memorable Passwords. In this paper we describe PassPoints, a new and more secure graphical Password system. We report an empirical study comparing the use of PassPoints to alphanumeric Passwords. Participants created and practiced either an alphanumeric or graphical Password. The participants subsequently carried out three longitudinal trials to input their Password over the course of 6 weeks. The results show that the graphical Password users created a valid Password with fewer difficulties than the alphanumeric users. However, the graphical users took longer and made more Invalid Password inputs than the alphanumeric users while practicing their Passwords. In the longitudinal trials the two groups performed similarly on memory of their Password, but the graphical group took more time to input a Password.
Jeancamille Birget - One of the best experts on this subject based on the ideXlab platform.
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passpoints design and longitudinal evaluation of a graphical Password system
International Journal of Human-computer Studies \ International Journal of Man-machine Studies, 2005Co-Authors: Susan Wiedenbeck, Jim Waters, Jeancamille Birget, Alex Brodskiy, Nasir MemonAbstract:Computer security depends largely on Passwords to authenticate human users. However, users have difficulty remembering Passwords over time if they choose a secure Password, i.e. a Password that is long and random. Therefore, they tend to choose short and insecure Passwords. Graphical Passwords, which consist of clicking on images rather than typing alphanumeric strings, may help to overcome the problem of creating secure and memorable Passwords. In this paper we describe PassPoints, a new and more secure graphical Password system. We report an empirical study comparing the use of PassPoints to alphanumeric Passwords. Participants created and practiced either an alphanumeric or graphical Password. The participants subsequently carried out three longitudinal trials to input their Password over the course of 6 weeks. The results show that the graphical Password users created a valid Password with fewer difficulties than the alphanumeric users. However, the graphical users took longer and made more Invalid Password inputs than the alphanumeric users while practicing their Passwords. In the longitudinal trials the two groups performed similarly on memory of their Password, but the graphical group took more time to input a Password.
