Cryptographic Protocol Design Concept with Genetic Algorithms

2005 ◽  
pp. 483-489 ◽  
Author(s):  
Kyeongmo Park ◽  
Chuleui Hong
Keyword(s):  
Genetic Algorithms ◽  
Protocol Design ◽  
Design Concept ◽  
Cryptographic Protocol

Automation of Authentication and Key Distribution Schemes Design Based on Trace Formulae

2012 ◽  
Vol 157-158 ◽  
pp. 870-873
Author(s):  
Pavel Ocenasek ◽  
Lubos Michal
Keyword(s):  
Trace Formula ◽  
Communication Channels ◽  
Key Distribution ◽  
Protocol Design ◽  
Design Concept ◽  
Private Communication ◽  
Trace Formulae

The authentication and key distribution schemes are widely used for providing safe communication. They are used for creating private communication channels in unsecured area. This paper deals with the concept of design of such schemes (protocols) and their properties. The paper starts with the properties and requirements of designed protocol, followed by the description of the design concept based on the trace formula and the process of its automation within the design library. The presented library supports both the handling of protocol properties and protocol design.

Self-Evolvable Protocol Design Using Genetic Algorithms

2010 ◽  
Vol 1 (1) ◽  
pp. 36-56 ◽  
Author(s):  
Wenbing Yao ◽  
Sheng-Uei Guan ◽  
Zhiqiang Jiang ◽  
Ilias Kiourktsidis
Keyword(s):  
Genetic Algorithms ◽  
Protocol Design ◽  
Design Approach ◽  
User Requirements ◽  
Network Simulator ◽  
Next Generation ◽  
Next Generation Internet ◽  
Apply Genetic ◽  
Run Time

Self-modifying protocols (SMP) are protocols that can be modified at run time by the computers using them. Such protocols can be modified at run time so that they can adapt to the changing communicating environment and user requirements on the fly. Evolvable protocols are SMP designed using Genetic Algorithms (GA). The purpose of this paper is to apply Genetic Algorithms (GA) to design an evolvable protocol in order to equip communication peers with more autonomy and intelligence. The next-generation Internet will benefit from the concept of evolvable protocols. In this paper, we design a Self Evolvable Transaction Protocol (SETP) with a GA executor embedded. We then use the Network Simulator (NS2) to evaluate this evolvable protocol module to demonstrate the feasibility of our new design approach.

Self-Evolvable Protocol Design Using Genetic Algorithms

2012 ◽  
pp. 36-56
Author(s):  
Wenbing Yao ◽  
Sheng-Uei Guan ◽  
Zhiqiang Jiang ◽  
Ilias Kiourktsidis
Keyword(s):  
Genetic Algorithms ◽  
Protocol Design ◽  
Design Approach ◽  
User Requirements ◽  
Network Simulator ◽  
Next Generation ◽  
Next Generation Internet ◽  
Apply Genetic ◽  
Run Time

Self-modifying protocols (SMP) are protocols that can be modified at run time by the computers using them. Such protocols can be modified at run time so that they can adapt to the changing communicating environment and user requirements on the fly. Evolvable protocols are SMP designed using Genetic Algorithms (GA). The purpose of this paper is to apply Genetic Algorithms (GA) to design an evolvable protocol in order to equip communication peers with more autonomy and intelligence. The next-generation Internet will benefit from the concept of evolvable protocols. In this paper, we design a Self Evolvable Transaction Protocol (SETP) with a GA executor embedded. We then use the Network Simulator (NS2) to evaluate this evolvable protocol module to demonstrate the feasibility of our new design approach.

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