DocumentCode :
3002484
Title :
A new method of Evolving Boolean Function based on gene expression programming
Author :
Li, Kangshun ; Xie, Yang ; Zhang, Wensheng ; Wang, Feng
Author_Institution :
Sch. of Inf. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou
fYear :
2008
fDate :
1-3 Sept. 2008
Firstpage :
2629
Lastpage :
2632
Abstract :
Evolutionary encryption is a new focus in recent research work. The new method of design encryption is to combine evolution algorithm with encryption designing. Boolean function is very import in encryption. The traditional method of optimizing Boolean function is algebra method which is slow and difficult. We propose an optimization algorithm for the Boolean function based on GEP. Comparing to the other methods, the method is not only fast but also the Boolean function found is very well even the dimension is high.
Keywords :
Boolean functions; cryptography; genetic algorithms; Boolean function optimization; evolutionary encryption; gene expression programming; Algorithm design and analysis; Automation; Boolean functions; Cryptography; Electronic mail; Functional programming; Gene expression; Optimization methods; Security; Sequences; Boolean function; Gene Expression Programming; evolutionary encryption;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-2502-0
Electronic_ISBN :
978-1-4244-2503-7
Type :
conf
DOI :
10.1109/ICAL.2008.4636616
Filename :
4636616
Link To Document :
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