Title :
CRYSEED: An automatic 8-bit cryptographic algorithm developed with genetic programming
Author :
Semente, Rodrigo S. ; Salazar, Andres O. ; Oliveira, Felipe D. M.
Author_Institution :
Dept. de Controle e Automacao, Univ. Fed. do Rio Grande do Norte, Natal, Brazil
Abstract :
In this paper a cryptographic algorithm optimized for wireless sensor networks is proposed and developed automatically using the technique of genetic programming. The proposed algorithm, CRYSEED, was developed considering the safety and computational efficiency, important to keep the algorithm fast, thus consuming less energy and increasing the autonomy of embedded networking devices. In genetic programming were used in the fitness function the metrics maximum deviation, irregular deviation and algorithm running time, to find a safe and fast algorithm. CRYSEED algorithm was compared with the AES, showing better performance in all aspects tested.
Keywords :
cryptography; genetic algorithms; telecommunication security; wireless sensor networks; CRYSEED algorithm; algorithm running time; automatic 8-bit cryptographic algorithm; computational efficiency; embedded networking devices; fitness function; genetic programming; irregular deviation; metrics maximum deviation; wireless sensor networks; Algorithm design and analysis; Ciphers; Encryption; Genetic programming; Histograms; AES; Cryptography; Genetic Programming; WSN;
Conference_Titel :
Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International
Conference_Location :
Montevideo
DOI :
10.1109/I2MTC.2014.6860905