Affiliations: Department of Computer Science and Technology, Harbin
Institute of Technology, Shenzhen Graduate School, Guangdong, China | Department of Computer Science and Information
Engineering, Tamkang University, Taipei, Taiwan
Note: [] Corresponding auhtor: Hui-Huang Hsu, Department of Computer
Science and Information Engineering, Tamkang University, Taipei, Taiwan. E-mail: huihuanghsu@gmail.com
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.
Keywords: Random Interval, evolutionary algorithm, genetic algorithm, memetic algorithm, wireless communication
