کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6873209 | 1440631 | 2018 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Exploring relationship between indistinguishability-based and unpredictability-based RFID privacy models
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نظریه محاسباتی و ریاضیات
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چکیده انگلیسی
A comprehensive privacy model plays a vital role in the design of privacy-preserving RFID authentication protocols. Among various existing RFID privacy models, indistinguishability-based (ind-privacy) and unpredictability-based (unp-privacy) privacy models are the two main categories. Unpâ-privacy, a variant of unp-privacy has been claimed to be stronger than ind-privacy. In this paper, we focus on studying RFID privacy models and have three-fold contributions. We start with revisiting unpâ-privacy model and figure out a limitation of it by giving a new practical traceability attack which can be proved secure under unpâ-privacy model. To capture this kind of attack, we improve unpâ-privacy model to a stronger one denoted as unpÏ-privacy. Moreover, we prove that our proposed privacy model is stronger than ind-privacy model. Then, we explore the relationship between unpâ-privacy and ind-privacy, and demonstrate that they are actually not comparable, which is in contrast to the previous belief. Next, we present a new RFID mutual authentication protocol and prove that it is secure under unpÏ-privacy model. Finally, we construct a RFID mutual authentication model denoted as MA model, and show that unpÏ-privacy implies MA, which gives a reference to design a privacy-preserving RFID mutual authentication protocol. That is, if we propose a scheme that satisfies unpÏ-privacy, then it also supports mutual authentication.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Future Generation Computer Systems - Volume 82, May 2018, Pages 315-326
Journal: Future Generation Computer Systems - Volume 82, May 2018, Pages 315-326
نویسندگان
Anjia Yang, Yunhui Zhuang, Jian Weng, Gerhard Hancke, Duncan S. Wong, Guomin Yang,