کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4955414 1444215 2017 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
EvoPass: Evolvable graphical password against shoulder-surfing attacks
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
پیش نمایش صفحه اول مقاله
EvoPass: Evolvable graphical password against shoulder-surfing attacks
چکیده انگلیسی

The passwords for authenticating users are susceptible to shoulder-surfing attacks in which attackers learn users' passwords through direct observations without any technical support. A straightforward solution to defend against such attacks is to change passwords periodically or even constantly, making the previously observed passwords useless. However, this may lead to a situation in which users run out of strong passwords they can remember, or they are forced to choose passwords that are weak, correlated, or difficult to memorize. To achieve both security and usability in user authentication, we propose EvoPass, the first evolvable graphical password authentication system. EvoPass transforms a set of user-selected pass images to pass sketches as user credentials. Users are required to identify their pass sketches from a set of challenge images for user authentication. Particularly, EvoPass improves password strength gradually over time through continually degrading pass sketches without annoying users to reselect pass images. The evolving feature makes it difficult for observational adversaries to identify the pass sketches, even though part of pass sketches may have been exposed to adversaries previously. We introduce two metrics, Information Retention Rate (IRR) and Password Diversity Score (PDS) to guide the process of generating pass sketches and a set of challenge images. Our experimental analysis reveals that applying reasonable IRR and PDS in EvoPass can remarkably improve the resistance to shoulder-surfing attacks without negatively affecting user experience. We also implement a prototype of EvoPass on Android platform with reasonable IRR and PDS applied. Our experimental results on the prototype further demonstrate that EvoPass could work efficiently and achieve a desired usability.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Security - Volume 70, September 2017, Pages 179-198
نویسندگان
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