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.

中文翻译：

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进化随机间隔指纹技术可实现更安全的无线通信

在本文中，我们为有源RFID和ZigBee系统提出了一种新颖的进化随机间隔指纹（RIF）。这种新方法可以实现更安全的多方通信，因为如果无线数据包是由另一个无线通信方伪造的，则间隔指纹可以提供另一种检测欺骗数据包的方式。此外，还提出了随机进化算法，包括遗传算法和模因算法，作为生成随机间隔指纹的一种手段。与传统的随机生成器相比，我们的方法在生成统一的随机数和长周期数方面更为灵活，并且在抗裂方面更强大。伪造方很难产生伪随机间隔。最后，我们提供一个应用示例，一份完整的工作调查，