A Novel Combined Correlation Power Analysis (CPA) Attack on Schoolbook Polynomial Multiplication in Lattice-based Cryptosystems
Chuanchao Lu, Yijun Cui, Ayesha Khalid, Chongyan Gu, Chenghua Wang, Weiqiang Liu · 2022
The lattice-based cryptography problems are known to be secure against the quantum computing attacks, till date no known quantum algorithm is able to solve these hard problems in lattices. Their naive implementations on embedded devices are, however, vulnerable to side-channel analysis (SCA) attacks with full key recovery possible via power/EM leakage analysis. This work analyses and attacks the power side channel leakage in the baseline hardware architecture of schoolbook polynomial multiplication, that is an essential component of most of the lattice based cryptography implementations. We first undertake a horizontal correlation power analysis (HCPA) method, optimized to work independent of the precise attack location specification in the schoolbook polynomial multiplier power leakage profile. Inspite of the inherent difficulties in HCPA, the attack is extremely efficient; with an 99.90% accuracy of recovering any one sub secret-key using only a single trace. Next we undertake the vertical correlation power analysis (VCPA) attack on the schoolbook polynomial multiplier power leakage profile, that requires larger number of power traces to analyze the correlation. Finally, we propose a novel combined correlation power analysis (CCPA) method that combines the strengths of both the VCPA and the HCPA to further improve the attacking capability of HCPA. We report a complete secret key recovery with a 100% accuracy by using only 4 power traces.