Publication:
On Integral Distinguishers for Ciphers Based on the Feistel Network Generalizations

Дата
2020
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2020, Springer Nature Switzerland AG.Lightweight block ciphers are designed to ensure high-performance and security under resource constraint environments. They can be used to provide security for internet of things, cyber physical system and radio frequency identification. The Feistel network generalizations are often suited to the design of lightweight block ciphers. To evaluate the security of new cryptosystems they need to be tested with various cryptanalytical methods. In this paper, the PICARO and QTL block ciphers based on the Feistel network modifications are studied using integral technique which considers a propagation of multiset property during the encryption process in order to determine the type of cipher. The QTL cipher is proved to have 1.5-round integral distinguisher. Its round function is studied against integral attack. The propagation of some integral properties in the PICARO expansion layer is shown. Integral distinguishers for generalized Feistel networks of type 1, 2, 3 are proposed for some restricted component functions.
Описание
Ключевые слова
Цитирование
Sorokin, M. On Integral Distinguishers for Ciphers Based on the Feistel Network Generalizations / Sorokin, M., Pudovkina, M. // Mechanisms and Machine Science. - 2020. - 80. - P. 189-197. - 10.1007/978-3-030-33491-8_23
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