吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 535-541.doi: 10.13229/j.cnki.jdxbgxb201602031

• Orginal Article • Previous Articles     Next Articles

Quantum key management algorithm based on sliding window

HAN Jia-wei1, 2, LIU Yan-heng1, SUN Xin3, SONG Li-jun2   

  1. 1. College of Computer Science and Technology, Jilin University, Changchun 130012,China;
    2. Quantum Cryptography Laboratory, Changchun University, Changchun 130022,China;
    3.Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012,China
  • Received:2014-07-06 Online:2016-02-20 Published:2016-02-20

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Abstract:

A Random Sliding Quantum Key Window (RSQKW) management algorithm is proposed in order to handle the problem of applying Quantum Key Distribution (QKD) in classical network encryption. First, a sliding window mechanism is introduced to control quantum key consumption. Then, the algorithm negotiates the control parameters of the sliding window by detecting the status of the quantum communication network and the final quantum key generated rate. Finally, using the stochastic characteristics of the quantum key to calculate the sliding step width, the quantum key series in the sliding window can be used as a new secret key for classical encryption algorithm. Comparing with traditional method, the RSQKW algorithm can better dynamically manage the quantum key and enhance the efficiency and effectiveness of quantum key distribution and management. Experimental results in a real quantum key distribution network demonstrate the feasibility and effectiveness of the proposed algorithm.

Key words: computer application, quantum key distribution, sliding window, key management, QKD protocol

CLC Number: 

  • TP393
[1] 吴华,赵于康,赵勇,等. 实用化光纤量子加密电话网络和高速数据传输系统 现场应用与安全管理[J]. 中国科学:信息科学,2014,44(3): 312-321.
Wu Hua,Zhao Yu-kang,Zhao Yong,et al. Field application and security management of a telephone network and a high speed data transmission system with practical fiber quantum cryptography[J]. Scien-tia Sinica Informationis,2014,44(3):312-321.
[2] Fröhlich B,Dynes J F,Lucamarini M,et al. A quantum access network[J]. Nature,2013,501 (7465):69-72.
[3] 刘晓慧,裴昌幸,聂敏. 量子无线通信网络构建及性能分析[J]. 吉林大学学报:工学版,2014,44(4):1177-1181.
Liu Xiao-hui,Pei Chang-xing,Nie Min. Quantum wireless communication network model and performance analysis[J]. Journal of Jilin University (Eng-ineering and Technology Edition),2014,44(4):1177-1181.
[4] Wang Qing-le,Gao Fei,Liu Bin,et al. Anonymous quantum communications using the quantum one-time pad[J]. Physica Scripta,2015,90(0151021): 1-6.
[5] Peev M,Dynes J F,Fasel S,et al. The SECOQC quantum key distribution network in Vienna[J]. New Journal of Physics,2009,11(7): 75001-75037.
[6] Stucki D,Legre M,Buntschu F,et al. Long-term performance of the Swiss quantum quantum key distribution network in a field environment[J]. New Journal of Physics,2011,13:123001-123018.
[7] Sasaki M,Fujiwara M,Ishizuka H,et al. Field test of quantum key distribution in the Tokyo QKD Net-work[J]. Optics Express,2011,19(11): 10387-10409.
[8] 吴华,王向斌,潘建伟. 量子通信现状与展望[J].中国科学:信息科学,2014,44(3):296-311.
Wu Hua,Wang Xiang-bin,Pan Jian-wei. Quantum communication: status and prospects[J]. Scientia Sinica Informationis 2014,44(3): 296-311.
[9] Neppach A,Pfaffel-Janser C,Wimberger I,et al. Key management of quantum generated keys in IPsec[C]//Proceedings of the International Conference on Security and Cryptography,Porto,Portugal,2008: 177-183.
[10] Alléaume R,Branciard C,Bouda J,et al. Using quantum key distribution for cryptographic purposes: A survey[J]. Theoretical Computer Science,2014,560: 62-81.
[11] Fujiwara M,Domeki T,Moriai S,et al. Highly secure network switches with quantum key distribution systems[J]. International Journal of Network Security,2015,17(1): 34-39.
[12] Gottesman D,Lo H K,Lutkenhaus N,et al. Security of quantum key distribution with imperfect devices[J]. Quantum Information & Computation,2004,4(5):325-360.
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