Tag association based graphical password using image feature matching

Authors:
Kyoji Kawagoe;Shinichi Sakaguchi;Yuki Sakon;Hung-Hsuan Huang
Affiliations:
College of Information Science and Engineering, Ritsumeikan University, Japan;College of Information Science and Engineering, Ritsumeikan University, Japan;College of Information Science and Engineering, Ritsumeikan University, Japan;College of Information Science and Engineering, Ritsumeikan University, Japan
Venue:
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part II
Year:
2012

Citing 7
Cited 1

Object Recognition from Local Scale-Invariant Features

ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
PassPoints: design and longitudinal evaluation of a graphical password system

International Journal of Human-Computer Studies - Special isssue: HCI research in privacy and security is critical now
Graphical Passwords: A Survey

ACSAC '05 Proceedings of the 21st Annual Computer Security Applications Conference
Reducing shoulder-surfing by using gaze-based password entry

Proceedings of the 3rd symposium on Usable privacy and security
On Purely Automated Attacks and Click-Based Graphical Passwords

ACSAC '08 Proceedings of the 2008 Annual Computer Security Applications Conference
YAGP: Yet Another Graphical Password Strategy

ACSAC '08 Proceedings of the 2008 Annual Computer Security Applications Conference
SURF: speeded up robust features

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I

POSTER: Graphical password using object-based image ranking

Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security

Quantified Score

Hi-index	0.00

Visualization

Abstract

Much work on graphical password has been proposed in order to realize easier and more secure authentication with use of images as a password rather than text based passwords. We have proposed a Tag Association Based graphical password called TAB. In TAB, a set of images which are presented to a user is determined among a large collection in image search or sharing web services using user pre-registered pass-terms, while the typical graphical password presents a user a set of images including one of the user pre-registered images. In our demo, we present the novel prototype system with an extension of TAB. The extended TAB is incorporated a well-known image recognition algorithm, such as SIFT (Scale Invariant Feature Transform) or SURF (Speeded Up Robust Feature) in order to increase both Shoulder Surfing Unsuccess and Authentication Success Ratios.