FSE '99 Proceedings of the 6th International Workshop on Fast Software Encryption
PRESENT: An Ultra-Lightweight Block Cipher
CHES '07 Proceedings of the 9th international workshop on Cryptographic Hardware and Embedded Systems
KATAN and KTANTAN -- A Family of Small and Efficient Hardware-Oriented Block Ciphers
CHES '09 Proceedings of the 11th International Workshop on Cryptographic Hardware and Embedded Systems
FSE'11 Proceedings of the 18th international conference on Fast software encryption
LBlock: a lightweight block cipher
ACNS'11 Proceedings of the 9th international conference on Applied cryptography and network security
CHES'11 Proceedings of the 13th international conference on Cryptographic hardware and embedded systems
Piccolo: an ultra-lightweight blockcipher
CHES'11 Proceedings of the 13th international conference on Cryptographic hardware and embedded systems
Related-Key boomerang and rectangle attacks
EUROCRYPT'05 Proceedings of the 24th annual international conference on Theory and Applications of Cryptographic Techniques
KLEIN: a new family of lightweight block ciphers
RFIDSec'11 Proceedings of the 7th international conference on RFID Security and Privacy
Information Processing Letters
Comprehensive study of integral analysis on 22-round LBlock
ICISC'12 Proceedings of the 15th international conference on Information Security and Cryptology
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At ACNS 2011, Wu and Zhang proposed a new lightweight block cipher which is named LBlock. The design rationale of LBlock considers the trade-offs between security against cryptanalyses and performance in low-resource implementations. In this paper, we present new attacks on reduced-round LBlock using related-key differential cryptanalysis. Firstly, we construct a new related-key boomerang distinguishing attack on 16-round LBlock. Secondly, we construct a key recovery attack on 22-round LBlock based on a 16-round related-key truncated differential. In contrast to the published cryptanalysis results of reduced-round LBlock, our attacks have advantages on data and computational complexities.