Evolutionary Interval Fingerprint for Wireless Network

In this paper, we have proposed a novel evolutionary random interval fingerprint for active RFID and ZigBee systems. This new approach can enable more secure communication in a multi-party communication, if the packet is forged by another communication party, the interval fingerprint can provide another way to detect the spoofing packet. Moreover, the evolutionary random algorithms - genetic and memetic random algorithms are also proposed to generate the random interval fingerprint. Comparing with the conventional random generator, our approach is flexible to generate uniform random numbers, and more robust for the cracking. The forged party is difficult to produce the fake random intervals. Finally, we provide an application example, completed related work survey, pseudo-code and analysis result to prove our concept is feasible for the pervasive communication.