CryptoDB
Libo Wang
Publications
Year
Venue
Title
2024
JOFC
2023
EUROCRYPT
Coefficient Grouping: Breaking Chaghri and More
Abstract
We propose an efficient technique called coefficient grouping to evaluate the algebraic degree of the FHE-friendly cipher Chaghri, which has been accepted for ACM CCS 2022. It is found that the algebraic degree increases linearly rather than exponentially. As a consequence, we can construct a 13-round distinguisher with time and data complexity of $2^{63}$ and mount a 13.5-round key-recovery attack. In particular, a higher-order differential attack on 8 rounds of Chaghri can be achieved with time and data complexity of $2^{38}$. Hence, it indicates that the full 8 rounds are far from being secure. Furthermore, we also demonstrate the application of our coefficient grouping technique to the design of secure cryptographic components. As a result, a countermeasure is found for Chaghri and it has little overhead compared with the original design. Since more and more symmetric primitives defined over a large finite field are emerging, we believe our new technique can have more applications in the future research.
Coauthors
- Ravi Anand (1)
- Lei Hu (1)
- Takanori Isobe (1)
- Fukang Liu (1)
- Willi Meier (1)
- Danping Shi (1)
- Ling Song (1)
- Libo Wang (2)
- Jian Weng (1)
- Qianqian Yang (1)
- Nana Zhang (1)
- Jiahao Zhao (1)