Improving Security of RFID Authentication Protocol Based on Fast Fourier Transform and Deoxyribonucleic Acid

Author(s):  
Vibhu Grewal

RFID based applications used for many purposes like tagging and tracking for tag and reader in IoT deployment. This is because of its powerful features compared with similar techniques such as barcodes. In contrast, various attacks and security threats cause to RFID system. The aim of this paper is to use a heterogeneous ensemble of Fast Fourier Transform algorithm and Deoxyribonucleic acid (DNA) sequence operations. This is different from existing ECC work in the sense that we are proposing to combine state-of-the-art encryption methods by ensemble techniques instead of focusing on single technique. Our proposed protocol is highly secure and its strength is based on FFT and DNA encoding rules. When compared with ECC technique we validate and demonstrate our approach experimentally and it leads to significant performance gains.

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 4037
Author(s):  
Shania Stewart ◽  
Ha H. Nguyen ◽  
Robert Barton ◽  
Jerome Henry

This paper presents two methods to optimize LoRa (Low-Power Long-Range) devices so that implementing multiplier-less pulse shaping filters is more economical. Basic chirp waveforms can be generated more efficiently using the method of chirp segmentation so that only a quarter of the samples needs to be stored in the ROM. Quantization can also be applied to the basic chirp samples in order to reduce the number of unique input values to the filter, which in turn reduces the size of the lookup table for multiplier-less filter implementation. Various tests were performed on a simulated LoRa system in order to evaluate the impact of the quantization error on the system performance. By examining the occupied bandwidth, fast Fourier transform used for symbol demodulation, and bit-error rates, it is shown that even performing a high level of quantization does not cause significant performance degradation. Therefore, the memory requirements of LoRa devices can be significantly reduced by using the methods of chirp segmentation and quantization so as to improve the feasibility of implementing multiplier-less filters in LoRa devices.


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