Protecting the login session from camera based shoulder surfing attacks
by Almaula, Varun Kartik, M.S., UNIVERSITY OF CALIFORNIA, SAN DIEGO, 2008, 86 pages; 1453664

Abstract:

Fraud and identity theft account for large financial loses each year. One critical component present at virtually all login terminals used today is the traditional text password or numerical PIN. Compromising this authentication component is a critical, yet increasingly feasible, step for criminals looking to gain access to sensitive information. To increase usability and security, graphical password schemes have been proposed that rely on users' innate ability to recognize pictures for authentication.

Sparked by the general ubiquity of cell phones with video recording technology, our research aims to identify the susceptibility of the Passfaces graphical password system to camera based shoulder surfing attacks while introducing a novel defense to combat recording devices. First, we survey several graphical password schemes in the context of the shoulder surfing attack vector. We then propose a method of subverting video recording capabilities by using high frequency contrast inversion. By preventing cameras from successfully correcting elementary settings in response to contrast inversion, little useful information is extracted from the system.

We mate the contrast inversion defense to an already proven user input method, a ‘cognitive trapdoor game’, and place these mechanisms within a graphical password system. A technological study evaluates the effectiveness of these mechanisms against a variety of recording devices, while a user study evaluates how these mechanisms impact the usability benefits of a graphical password system. We believe our system increases the resource investment for a camera based shoulder surfing attack, yet can be used in most authentication terminals without extensive modifications.

 
AdviserStefan Savage
SchoolUNIVERSITY OF CALIFORNIA, SAN DIEGO
SourceMAI/ 46-06, p. , Aug 2008
Source TypeThesis
SubjectsComputer science
Publication Number1453664
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:1453664
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.