Title : 
An intelligent key related attack using NSGA II algorithm
         
        
            Author : 
Azimi, Mohammadreza ; Mirvaziri, Hamid ; Eftekhari, Mahdi ; Ebrahimimanesh, Asghar
         
        
            Author_Institution : 
Dept. of Comput. Eng., Shahid Bahonar Univ. of Kerman, Kerman, Iran
         
        
        
        
        
        
            Abstract : 
Growing in cyber attacks has driven a growth in demand for network security. Cryptology is the science of secret communication systems including cryptography and cryptanalysis. Different heuristic and meta heuristic algorithms has been used for cryptanalysis and certainly one of the most important one is GA. Usually N-gram and Dictionary attack are used to have a suitable fitness and best chromosomes which are time consuming and poor performance methods. In this paper a new method is proposed that not only improve performance of analysis but also it needs time not much as mentioned methods. NSGA-II (one of the most important multi-objective GAs) is used for better key evaluation and increasing the accuracy and performance. This analysis has been employed on a substitution cipher and some good results achieved.
         
        
            Keywords : 
cryptography; genetic algorithms; Dictionary attack; N-gram attack; NSGA II algorithm; chromosomes; cryptanalysis; cryptography; cryptology; cyber attack; genetic algorithm; intelligent key related attack; key evaluation; metaheuristic algorithm; multiobjective GA; network security; secret communication system; substitution cipher; Algorithm design and analysis; Biological cells; Dictionaries; Genetic algorithms; Sociology; Nsga-II; block cipher; cipher; cryptanalysis; genetic algorithm; substitution cipher;
         
        
        
        
            Conference_Titel : 
Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on
         
        
            Conference_Location : 
Shiraz, Fars
         
        
            Print_ISBN : 
978-1-4673-1478-7
         
        
        
            DOI : 
10.1109/AISP.2012.6313737