MILP Based Differential Cryptanalysis on IVLBC and Eslice 64

Lightweight block ciphers provide security to resource-limited devices. However, many of these ciphers lack security analysis against basic attacks. This paper provides a detailed security analysis of two lightweight block ciphers, IVLBC and Eslice-64, against differential attack. The designers of IVLBC and Eslice-64 claimed that their ciphers were secure against differential attack. In this paper, to substantiate existing cryptanalysis’s claims, we perform differential attack on these two ciphers using the mixed-integer linear programming (MILP) method. We incorporate the difference distribution table (DDT) probabilities into MILP models. We discover differential distinguishers up to seven and 15 rounds for IVLBC and Eslice-64, respectively. We improve the known distinguishers for Eslice-64 by one round. Further, we mount the key recovery attack on an eight-round IVLBC and a 16-round Eslice-64 with data/memory/time complexities of 249/ 250.59/249 and 263/212.58/263 respectively.

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Publication Details

Journal
Defence Science Journal
Published
2024-09-04
DOI
https://doi.org/10.14429/dsj.74.19601
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
0.00
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article

MILP Based Differential Cryptanalysis on IVLBC and Eslice 64

Dhananjoy Dey, Manjeet Kaur
Defence Science Journal
Coding theory and cryptography
article

MILP Based Differential Cryptanalysis on IVLBC and Eslice 64

Dhananjoy Dey, Manjeet Kaur
article en

Abstract

Lightweight block ciphers provide security to resource-limited devices. However, many of these ciphers lack security analysis against basic attacks. This paper provides a detailed security analysis of two lightweight block ciphers, IVLBC and Eslice-64, against differential attack. The designers of IVLBC and Eslice-64 claimed that their ciphers were secure against differential attack. In this paper, to substantiate existing cryptanalysis’s claims, we perform differential attack on these two ciphers using the mixed-integer linear programming (MILP) method. We incorporate the difference distribution table (DDT) probabilities into MILP models. We discover differential distinguishers up to seven and 15 rounds for IVLBC and Eslice-64, respectively. We improve the known distinguishers for Eslice-64 by one round. Further, we mount the key recovery attack on an eight-round IVLBC and a 16-round Eslice-64 with data/memory/time complexities of 249/ 250.59/249 and 263/212.58/263 respectively.

Defence Science JournalVol. 74(5)
Indian Institute of Management Lucknow (IN)
Openalex Percentile: Top 85%
Coding theory and cryptography
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