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Algorithm and software development for security estimation of SPN-based block cipher against related-key attacks

Symmetric block ciphers are among the most widely used cryptographic primitives. In addition to providing privacy via encryption, block ciphers are used as basic components in the construction of hash functions, message authentication codes, pseudorandom number generator, as part of various cryptographic protocols and etc. One of the most popular block ciphers nowadays is AES (Advanced Encryption Standard), which has been used as a standard of encryption in many countries of the world. In spite of popularity of this cipher a huge attack was found on its key-expansion algorithm some years ago. That is why it is important to analyze carefully this component and understand what weak points admit attacks. Since we know that we can improve existing algorithm to protect cipher from attacks or build up a new algorithm taking into account founded weaknesses so there will be no chance to break it with existing knowledge. The goal of this project is to create some method which can estimate security of encryption algorithm against related-key attacks. For this reason the perspective block cipher is introduced. This cipher is a candidate to the public standard of encryption in Ukraine so that is why this research is very important. Actually the introduced method of estimation is created especially for this cipher but also can be used for other ciphers based on the substitution-permutation network. The developed method was applied to the cipher and results are represented in the report. Also the complexity estimation of this algorithm is expressed. The software implementation is described in the last chapter of report.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-34728
Date January 2014
CreatorsKaidalov, Dmytro
PublisherLinnéuniversitetet, Institutionen för datavetenskap (DV)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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