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۱Security Analyzing and Designing GUI with the Resources Model
اطلاعات انتشار: هشتمین کنفرانس انجمن رمز ایران، سال
تعداد صفحات: ۸
Recently security problems in the Graphic User Interface (GUI) of applications have become a serious threat for system security. Because much of security experts don’t design the GUI from end user’s point of view, users have problems to practice security. The aim of Human & Computer Interaction (HCI) and Security (HCI–Sec) is to improve the usability of security features in end user applications. In this paper we apply the resources model (a model in HCI) to analyzing and designing system GUI with a security perspective to achieve a more secure and usable system. We studied Tests part of E–learning system in Ferdowsi University of Mashhad (FUM) as our case study. And we exploited faults that slow down user co–ordination with the system and used this model to explore design alternative. We generally analyzed GUI and proposed an alternative GUI in order to solve interaction problems. Finally we analyzed the GUI with a security perspective to improve the usability of security issues in this system. The results show this model works very well in the field of security.<\div>

۲SEIMCHA: A New Semantic Image CAPTCHA Using Geometric Transformations
اطلاعات انتشار: International Journal of Information Security، چهارم،شماره۱، Jan ۲۰۱۲، سال
تعداد صفحات: ۱۴
As protection of web applications are getting more and more important every day, CAPTCHAs are facing booming attention both by users and designers. Nowadays, it is well accepted that using visual concepts enhance security and usability of CAPTCHAs. There exist few major different ideas for designing image CAPTCHAs. Some methods apply a set of modifications such as rotations to the original image saved in the data base, to make the CAPTCHA more secure. In this paper, two different approaches for designing image based CAPTCHAs are introduced. The first one–which is called Tagging image CAPTCHA–is based on pre–tagged images, using geometric transformations to increase security, and the second approach tries to enhance the first one by eliminating the use of tags and relying on semantic visual concepts. In fact, recognition of upright orientation is used as a visual cue. The usability of the proposed approaches is verified using human subjects. An estimation of security is also obtained by different kinds of attacks. Further studies are done on the proposed transformations and also on the properness of each original image for each approach. Results suggest a practical Semantic Image CAPTCHA which is usable and secure compared to its peers.
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