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Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2020 / Cilt: 26 - Sayı: 5

XorshiftUL+: A novel hybrid random number generator for internet of things and wireless sensor network applications

XorshiftUL+: Nesnelerin interneti ve kablosuz duyarga ağı uygulamaları için yeni bir melez rastgele sayı üreteci

Ömer AYDIN
Cem KÖSEMEN
Pages
953–958
Publication Date
2022-10-18
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

As a result of the comparisons,it has better results than its rivals.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:There are an increasing number of lightweight devices such as smartcards, radio frequency identification (RFID) tags, wireless sensor nodesand devices associated with the Internet of Things (IoT) concept, all ofwhich need effective and lightweight security structures.
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Key Findings & Data:One of thebasic elements used in authentication protocols is the nonce values thatare generated by PRNGs.
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Conclusion & Impact:As a result of the comparisons,it has better results than its rivals.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

There are an increasing number of lightweight devices such as smartcards, radio frequency identification (RFID) tags, wireless sensor nodesand devices associated with the Internet of Things (IoT) concept, all ofwhich need effective and lightweight security structures. One of thebasic elements used in authentication protocols is the nonce values thatare generated by PRNGs. Also random numbers are used for encryptionprocess in secure communication. Proposed PRNG has demonstratedgreat suitability for devices with limited resources in terms ofperformance, resource usage and randomness. This generator is testedwith NIST statistical test suite (NIST STS), which is one of the mostcomprehensive randomness test tools. It is also implemented, tested onwireless identification and sensing platform (WISP) passive RFID tagand compared with well-known PRNGs. As a result of the comparisons,it has better results than its rivals.

Özet

Akıllı kartlar, radyo frekansı tanımlama (RFID) etiketleri, kablosuz sensör düğümleri ve Nesnelerin İnterneti (IoT) konsepti ile ilişkili düşük kaynaklı cihazların sayısında artış olmaktadır. Kimlik doğrulama protokollerinde kullanılan temel öğelerden biri SRSÜ'ler tarafından üretilen nonce değerleridir. Ayrıca güvenli iletişimde şifreleme işlemi için rasgele sayılar kullanılır. Önerilen SRSÜ, sınırlı kaynaklara sahip cihazlarda performans, kaynak kullanımı ve rastlantısallık açısından uygunluk göstermiştir. Bu üreteç en kapsamlı rastgele sayı test araçlarından biri olan NIST istatistiksel test takımı (NIST STS) ile test edilmiştir. Ayrıca, kablosuz tanıma ve algılama platformu (WISP) pasif RFID etiketi üzerinde test edilmiş ve uygulanmış ve iyi bilinen SRSÜ'lerle karşılaştırılmıştır. Karşılaştırmalar sonucunda rakiplerinden daha iyi sonuçlar vermiştir.

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Cite This Article

AYDIN, Ö., KÖSEMEN, C. (2022). XorshiftUL+: A novel hybrid random number generator for internet of things and wireless sensor network applications. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 26 - Sayı: 5, 953–958. https://ajindex.com/articles/587376

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References (12)

  1. Beaulieu R, Shors D, Smith J, Treatman-Clark S, Weeks B, Wingers L. “The SIMON and SPECK families of lightweight block ciphers”. 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), IEEE, San Francisco, CA, USA, 7-11 June 2015
  2. Canniere C D, Dunkelman O, Kneˇzevi ́c M. “KATAN and KTANTAN–a family of small and efficient hardwareoriented block ciphers”. Cryptographic Hardware and Embedded Systems-CHES 2009, Springer, Lausanne, Switzerland, 6-9 September 2009
  3. Guo J, Peyrin T, Poschmann A, Robshaw M. “The led block cipher”. 13th International Workshop Cryptographic Hardware and Embedded Systems–CHES 2011, Nara, Japan, 28 September-1 October 2011
  4. Gong Z, Nikova S, Law YW. KLEIN: A New Family of Lightweight Block Ciphers. Editors: Juels A, Paar C. RFID Security and Privacy Lecture Notes in Computer Science, 1-18, Berlin, Heidelberg, Germany, Springer, 2012
  5. Knudsen L, Leander G, Poschmann A, Robshaw MJB. “PRINTcipher: a block cipher for ic-printing”. 12th International Workshop Cryptographic Hardware and Embedded Systems CHES 2010, Santa Barbara, USA, 17-20 August 2010
  6. Shibutani K, Isobe T, Hiwatari H, Mitsuda A, Akishita T, Shirai T. “Piccolo:an ultra-lightweight blockcipher”. 13th International Workshop Cryptographic Hardware and Embedded Systems–CHES 2011, Nara, Japan, 28 September-1 October 2011
  7. Wu W, Zhang L. “LBlock: a lightweight block cipher”. International Conference on Applied Cryptography and Network Security ACNS 2011: Applied Cryptography and Network Security, Nerja, Spain, 7-10 June, 2011
  8. Aumasson JP, Henzen L, Meier W, Naya-Plasencia M. “Quark: a lightweight hash”. Journal of Cryptology, 26(2), 313-339, 2013
  9. Bogdanov A, Kneˇzevi ́c M, Leander G, Toz D, Varıcı K, Verbauwhede I. “SPON-GENT: a lightweight hash function”. International Workshop on Cryptographic Hardware and Embedded Systems CHES 2011: Cryptographic Hardware and Embedded Systems, Nara, Japan, 28 September-1 October 2011
  10. Guo J, Peyrin T, Poschmann A. “The PHOTON family of lightweight hash functions”. 31st Annual Cryptology Conference, Santa Barbara, CA, USA, 14-18 August 2011
  11. Turner N. “Software vs. Hardware RNG’s”. iGaming Business Magazine 2 pp. Issue 55, http://www.igamingbusiness.com/sites/default/files/fil e/March_%20April%202009/28-29_Mar_Apr09.pdf (16.06.2020)
  12. Fischer V, Bernard F. True Random Number Generators in FPGAs. Editors: Badrignans B, Danger J, Fischer V, Gogniat G, Torres L. Security Trends for FPGAS From Sec