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