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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/93414

    Title: The evolutionary random interval fingerprint for a more secure wireless communication
    Authors: Tseng, Kuo-Kun;Pan, Jeng-Shyang;Wei, Wei;Hsu, Hui-Huang
    Contributors: 淡江大學資訊工程學系
    Keywords: Random Interval;evolutionary algorithm;genetic algorithm;memetic algorithm;wireless communication
    Date: 2013-10
    Issue Date: 2014-01-09 14:51:27 (UTC+8)
    Publisher: Amsterdam: IOS Press
    Abstract: In this paper, we propose a novel evolutionary Random Interval Fingerprint (RIF) for active RFID and ZigBee systems. This new approach can enable more secure multi-party communication since, if the wireless packets are forged by another wireless communication party, the interval fingerprint can provide another way to detect the spoofing packet. Moreover, the random evolutionary algorithms, both genetic and memetic, are also proposed as a means to generate the random interval fingerprint. Compared to the conventional random generator, our approach is flexible in generating uniform random and long cycle numbers, and more robust for the anti-cracking. It is difficult for the forged party to produce the fake random intervals. Finally, we provide an application example, a completed work survey, pseudo-code and analysis result to prove that our concept is feasible for the Wireless communication.
    Relation: Mobile Information Systems 9(4), pp.281-294
    DOI: 10.3233/MIS-130163
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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