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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/10119/15288
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| タイトル: | Evaluation and Improvement of Pseudo-Random Number Generator for EPC Gen2 |
| 著者: | Nomaguchi, Hiroshi
Miyaji, Atsuko
Su, Chunhua |
| キーワード: | Non-linear feedback shift register
Pseudorandom random number generator
RFID
EPC Gen2 |
| 発行日: | 2017-08-01 |
| 出版者: | Institute of Electrical and Electronics Engineers (IEEE) |
| 誌名: | 2017 IEEE Trustcom/BigDataSE/ICESS |
| 開始ページ: | 721 |
| 終了ページ: | 728 |
| DOI: | 10.1109/Trustcom/BigDataSE/ICESS.2017.305 |
| 抄録: | RFID enable applications are ubiquitous in our society, especially become more and more important as IoT management rises. Meanwhile, the concern of security and privacy of RFID is also increasing. The pseudorandom number generator is one of the core primitives to implement RFID security. Therefore, it is necessary to design and implement a secure and robust pseudo-random number generator (PRNG) for current RFID tag. In this paper, we study the security of light-weight PRNGs for EPC Gen2 RFID tag which is an EPC Global standard. Based on our analysis, we propose an new scheme which outperform the existing PRNGs for EPC Gen2 RFID tag. We build our PRNG with a combination of NLFSR and DLFSR, and achieve more efficiency and security. We also show that our proposed PRNG has good randomness and passed the NIST randomness test. we also shows that it is resistant to identification attacks and GD attacks. |
| Rights: | This is the author's version of the work. Copyright (C) 2017 IEEE. 2017 IEEE Trustcom/BigDataSE/ICESS, 2017, 721-728. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | http://hdl.handle.net/10119/15288 |
| 資料タイプ: | author |
| 出現コレクション: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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| 23420.pdf | | 1011Kb | Adobe PDF | 見る/開く |
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