Visible to the public Biblio

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2017-10-04
Jaume-i-Capó, Antoni, Mena-Barco, Carlos, Moyà-Alcover, Biel.  2016.  Analysis of Blood Cell Morphology in Touch-based Devices Using a CAPTCHA. Proceedings of the XVII International Conference on Human Computer Interaction. :27:1–27:2.
In this paper, we present an experimental system for controlling human access to information systems. Also, the system allows analyzing the morphology of red blood cells of microscope images of patients with sicklemia.
Kim, Suzi, Choi, Sunghee.  2016.  Automatic Generation of 3D Typography. ACM SIGGRAPH 2016 Posters. :21:1–21:2.
Three-dimensional typography (3D typography) refers to the arrangement of text in three-dimensional space. It injects vitality into the letters, thereby giving the viewer a strong impression that is hard to forget. These days, 3D typography plays an important role in daily life beyond the artistic design. It is easy to observe the 3D typography used in the 3D virtual space such as movie or games. Also it is used frequently in signboard or furniture design. Despite its noticeable strength, most of the 3D typography is generated by just a simple extrusion of flat 2D typography. Comparing with 2D typography, 3D typography is more difficult to generate in short time due to its high complexity.
Wang, Zhao, Xi, Yuan.  2016.  A Kind of De-noising and Segmentation Method for Hollow CAPTCHAs with Noise Arcs. Proceedings of the Fifth International Conference on Network, Communication and Computing. :68–72.
While many text-based CAPTCHA schemes have been broken, hollow CAPTCHAs as a new technology have been used by many websites. The generation method of currently used hollow CAPTCHAs is investigated, we found there is color difference between the boundary of characters contour lines and noise arcs. An algorithm of noise arcs removal to deal with this vulnerability is proposed. Furthermore, a de-noising and segmentation scheme for hollow CAPTCHAs with noise arcs is presented. The scheme is verified by the real CAPTCHA data from the website Sina Weibo. The success segmentation rate is 77%. Finally, some advice is given to improve the design of hollow CAPTCHA.
A. Rawat, A. K. Singh, J. Jithin, N. Jeyanthi, R. Thandeeswaran.  2016.  RSJ Approach for User Authentication. Proceeding AICTC '16 Proceedings of the International Conference on Advances in Information Communication Technology & Computing Article No. 101 .

Some of the common works like, upload and retrieval of data, buying and selling things, earning and donating or transaction of money etc., are the most common works performed in daily life through internet. For every user who is accessing the internet regularly, their highest priority is to make sure that there data is secured. Users are willing to pay huge amount of money to the service provider for maintaining the security. But the intention of malicious users is to access and misuse others data. For that they are using zombie bots. Always Bots are not the only malicious, legitimate authorized user can also impersonate to access the data illegally. This makes the job tougher to discriminate between the bots and boots. For providing security form that threats, here we are proposing a novel RSJ Approach by User Authentication. RSJ approach is a secure way for providing the security to the user form both bots and malicious users.

Sawada, Kouta, Uda, Ryuya.  2016.  Effective CAPTCHA with Amodal Completion and Aftereffects. Proceeding IMCOM '16 Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication Article No. 53 .

Accounts on web services are always exposed to the menace of attacks. Especially, a large number of accounts can be used for unfair uses such as stealth marketing or SPAM attacks. Needless to say, acquisition of those accounts and attacks are automatically done by software programs called bots. Therefore, a technology called CAPTCHA is usually used in the acquisition of accounts for web services in order to distinguish human beings from bots. The most popular kind of CAPTCHA methods is text-based CAPTCHA in which distorted alphabets and numbers appear with obstacles or noise. However, it is known that all of text-based CAPTCHA algorithms can be analyzed by computers. In addition, too much distortion or noise prevents human beings from alphabets or numbers. There are other kinds of CAPTCHA methods such as image CAPTCHA and audio CAPTCHA. However, they also have problems in use. As a related work, an effective text-based CAPTCHA algorithm was proposed to which amodal completion is applied. The CAPTCHA provides computers a large amount of calculation cost while amodal completion helps human beings to recognize characters momentarily. On the other hand, momentary recognition is uncomfortable for human beings since extreme concentration is required within ten seconds. Therefore, in this paper, we propose an improved algorithm to which amodal completion and aftereffects are applied. The aftereffects extend time for recognition of characters from a moment to several seconds.