کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
552344 | 873210 | 2010 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Toward user patterns for online security: Observation time and online user identification
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
سیستم های اطلاعاتی
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چکیده انگلیسی
Research in biometrics suggests that the time period a specific trait is monitored over (i.e. observing speech or handwriting “long enough”) is useful for identification. Focusing on this aspect, this paper presents a data mining analysis of the effect of observation time period on user identification based on online user behavior. We show that online identification accuracies improve with pooling user data over sessions and present results that quantify the number of sessions needed to identify users at desired accuracy thresholds. We discuss potential applications of this for verification of online user identity, particularly as part of multi-factor authentication methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Decision Support Systems - Volume 48, Issue 4, March 2010, Pages 548–558
Journal: Decision Support Systems - Volume 48, Issue 4, March 2010, Pages 548–558
نویسندگان
Yinghui (Catherine) Yang, Balaji Padmanabhan,