Quantum Neural Network Based Distinguisher on SPECK-32/64

As IoT technology develops, many sensor devices are being used in our life. To protect such sensor data, lightweight block cipher techniques such as SPECK-32 are applied. However, attack techniques for these lightweight ciphers are also being studied. Block ciphers have differential characteristics,...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Hyunji Kim, Kyungbae Jang, Sejin Lim, Yeajun Kang, Wonwoong Kim, Hwajeong Seo
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-06-01
主題:	quantum neural network SPECK-32/64 differential distinguisher
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/12/5683