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Tight and Scalable Side-Channel Attack Evaluations through Asymptotically Optimal Massey-like Inequalities on
Andrei Tănăsescu1, Marios O Choudary1, Olivier Rioul2
1Department of Computer Science and Engineering, University Politehnica of Bucharest, Splaiul Independentei 313 (6), 060042 Bucharest, Romania.
Researchers improved a scalable side-channel security evaluation method using Massey
Area of Science:
- Cryptography and Information Security
Background:
- The Massey's guessing entropy bounds from CHES 2017 offer a scalable method for side-channel security evaluation.
- Existing methods face limitations in precision for certain security assessments.
Purpose of the Study:
- To enhance the scalability and accuracy of side-channel security evaluations.
- To refine Massey's guessing entropy for improved practical application in cryptanalysis.
Main Methods:
- Derivation of an asymptotically optimal Massey-like inequality.
- Refinement of the inequality for distributions with finite support.
Main Results:
- The proposed method provides tighter bounds for side-channel attack evaluations.
- Demonstrated significant improvements compared to the existing CHES 2017 bounds.
Conclusions:
- The refined Massey-like inequality offers a more precise and efficient tool for side-channel security analysis.
- This advancement is crucial for robust security assessments in cryptographic implementations.
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