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このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/12946
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| タイトル: | A privacy-preserving efficient RFID authentication protocol from SLPN assumption |
| 著者: | Islam Mamun, Mohammad Saiful
Miyaji, Atsuko |
| キーワード: | RFID
mutual authentication
privacy
subspace learning parity from noise
SLPN problem |
| 発行日: | 2015 |
| 出版者: | Inderscience |
| 誌名: | International Journal of Computational Science and Engineering |
| 巻: | 10 |
| 号: | 3 |
| 開始ページ: | 234 |
| 終了ページ: | 243 |
| DOI: | 10.1504/IJCSE.2015.068832 |
| 抄録: | This paper presents an authentication protocol of RFID system where both the tag and the reader are authenticated mutually. Optimal performance requirement, considering storage and computation constraints of low-cost tags, keeping security and privacy policies intact are some major challenges in recent research in this area. We propose a secure and private mutual authentication protocol of HB-family to meet the demand of low-cost tags. It is composed of subspace learning parity from noise (SLPN) problem and pseudo-inverse matrix properties where both of them significantly reduce the cost in terms of computation and hardware requirements. In addition, we compare our protocol with other existing HB-like and ordinary RFID authentication protocols according to their construction primitives and security and privacy achievements. |
| Rights: | Copyright (C) 2015 Inderscience. Mohammad Saiful Islam Mamun and Atsuko Miyaji, International Journal of Computational Science and Engineering, 10(3), 2015, 234-243. http://dx.doi.org/10.1504/IJCSE.2015.068832 |
| URI: | http://hdl.handle.net/10119/12946 |
| 資料タイプ: | author |
| 出現コレクション: | b10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| 19218.pdf | | 275Kb | Adobe PDF | 見る/開く |
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