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	  			A combinatorial problem related to sparse systems of equations | 
      	
| Tartalom: | http://real.mtak.hu/44139/ | 
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| Archívum: | MTA Könyvtár | 
| Gyűjtemény: | 
															Status = In Press
										 Type = Article  | 
	    	
| Cím: | 
								 
					A combinatorial problem related to sparse systems of equations
				 
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| Létrehozó: | 
										 
						Horak, P.
					 
										
						Semaev, I.
					 
										
						Tuza, Zsolt
					 
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| Kiadó: | 
													 
					Springer
										 
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| Dátum: | 
													 
					2016
										 
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| Téma: | 
													 
					QA Mathematics / matematika
										 
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| Tartalmi leírás: | 
													 
					Nowadays sparse systems of equations occur frequently in science and engineering. In this contribution we deal with sparse systems common in cryptanalysis. Given a cipher system, one converts it into a system of sparse equations, and then the system is solved to retrieve either a key or a plaintext. Raddum and Semaev proposed new methods for solving such sparse systems common in modern ciphers which are combinations of linear layers and small S-boxes. It turns out that the solution of a combinatorial MaxMinMax problem provides an upper bound on the average computational complexity of those methods. In this paper we initiate the study of a linear algebra variation of the MaxMinMax problem. The complexity bound proved in this paper significantly overcomes conjectured complexity bounds for Gröbner basis type algorithms. © 2016 Springer Science+Business Media New York
										 
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| Nyelv: | 
																 
						angol
												 
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| Típus: | 
													 
					Article
										 
																	
					PeerReviewed
										 
																	
					info:eu-repo/semantics/article
										 
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| Formátum: | 
													 
					text
										 
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| Azonosító: | 
													
																	 
					Horak, P. and Semaev, I. and Tuza, Zsolt  (2016) A combinatorial problem related to sparse systems of equations.  DESIGNS CODES AND CRYPTOGRAPHY.  pp. 1-16.  ISSN 0925-1022    (In Press)
										 
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| Kapcsolat: | 
													
																	
																	 
					MTMT:3156844; doi:10.1007/s10623-016-0294-4
										 
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