國立虎尾科技大學 |

Effects of Peer Feedback on Password Strength.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Effects of Peer Feedback on Password Strength./
作者:	Khan, Faisal Irfan Yar.
面頁冊數:	1 online resource (70 pages)
附註:	Source: Masters Abstracts International, Volume: 56-06.
Contained By:	Masters Abstracts International56-06(E).
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9780355121841

Effects of Peer Feedback on Password Strength.
Khan, Faisal Irfan Yar.

Effects of Peer Feedback on Password Strength. - 1 online resource (70 pages)

Source: Masters Abstracts International, Volume: 56-06.

Thesis (Master's)

Includes bibliographical references

This thesis is a study on the effects of peer-feedback on a user's password strength. Passwords are a common sight in everyday use of an average end user. Text-based passwords are heavily relied upon when it comes to user authentication employed in various account management scenarios. Most users do not pay attention to or understand the importance of creating a secure password. Lack of strong passwords means that it is the single most vulnerable point to gain unauthorized access to the resource as prior studies have uncovered that most passwords are significantly weak and hence, easy to crack. Consequently, exploring mechanisms which improve password security has been the main focus of a significant body of research. To this end, we introduced a peer-feedback password meter which shows how the strength of the user's password compares to the strength of passwords used by other users. To achieve this goal, we conducted a user study where we asked users to create an account on a hypothetical website. The users were either shown a traditional password meter or a peer-feedback meter. Our findings suggest that when told to create a unique password, the peer-feedback password meter significantly increased the strength of the password as compared to a traditional password meter. This approach could potentially be one of the methods to encourage end users to create a stronger password.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355121841Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Effects of Peer Feedback on Password Strength.
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245 1 0 $a Effects of Peer Feedback on Password Strength.
264 0 $c 2017
300 $a 1 online resource (70 pages)
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500 $a Source: Masters Abstracts International, Volume: 56-06.
500 $a Adviser: Marc J. Dupuis.
502 $a Thesis (Master's) $c University of Washington $d 2017.
504 $a Includes bibliographical references
520 $a This thesis is a study on the effects of peer-feedback on a user's password strength. Passwords are a common sight in everyday use of an average end user. Text-based passwords are heavily relied upon when it comes to user authentication employed in various account management scenarios. Most users do not pay attention to or understand the importance of creating a secure password. Lack of strong passwords means that it is the single most vulnerable point to gain unauthorized access to the resource as prior studies have uncovered that most passwords are significantly weak and hence, easy to crack. Consequently, exploring mechanisms which improve password security has been the main focus of a significant body of research. To this end, we introduced a peer-feedback password meter which shows how the strength of the user's password compares to the strength of passwords used by other users. To achieve this goal, we conducted a user study where we asked users to create an account on a hypothetical website. The users were either shown a traditional password meter or a peer-feedback meter. Our findings suggest that when told to create a unique password, the peer-feedback password meter significantly increased the strength of the password as compared to a traditional password meter. This approach could potentially be one of the methods to encourage end users to create a stronger password.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Washington. $b Computer Science and Engineering. $3 1182238
773 0 $t Masters Abstracts International $g 56-06(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10288710 $z click for full text (PQDT)