Original title: An Evidence-Based Framework for Hardware Security Evaluation Using Side-Channel Analysis: Leakage Detection, Key-Recovery Validation, and Robustness Assessment
Arvind Kumar Sharma, Shao-Fang Wen · September 2026
Computer chips that scramble secret data can accidentally give away their secrets. As a chip runs an encryption program called AES-128A widely used encryption method that uses a 128-bit secret key., its electrical power fluctuates. Attackers can measure these tiny power changes to steal secret keys, a threat called side-channel analysis. Testing hardware for these leaks often lacks an organized, step-by-step process. To solve this, researchers built an evaluation pipeline that screens for leaks, proves they can be exploited, measures how many measurements are needed, and stress-tests the system under messy real-world conditions. They tested a microcontroller chip by tracking its power use. First, they proved the chip leaks clear signals. Next, they used correlation power analysis to crack the full secret key, discovering that each byte of data leaks at a slightly different moment. Using this timing information, they recovered the entire secret key every single time with just 50 power recordings.
You are trying to guess a friend's four-digit ATM PIN by listening to the keypad sounds. Each digit makes a distinct click, but the clicks are faint and you need many attempts to average out background noise. In this paper, the chip's power consumption is like the keypad sounds, and the secret encryption key is like the PIN. By recording multiple encryption sessions and averaging the power traces, the researchers recover the key, just as you would identify the PIN from repeated listening.
Hardware security evaluators need a repeatable way to test if a chip leaks secret information through its power consumption. This framework gives them a step-by-step process to check for leakage, confirm it can be exploited to recover the encryption key, and measure exactly how few power traces an attacker needs. For companies designing embedded devices with AES encryption, this method provides a practical standard to evaluate whether their implementation is secure.
The framework is demonstrated on a single platform (CW312/SAM4S) with one AES-128 implementation. Broader generalization requires testing on different devices, varying keys, multiple acquisition sessions, and implementations with countermeasures. The results do not claim security for all systems but provide a reproducible methodology for the specific setup tested.
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An Evidence-Based Framework for Hardware Security Evaluation Using Side-Channel Analysis: Leakage Detection, Key-Recovery Validation, and Robustness Assessment — Arvind Kumar Sharma, Shao-Fang Wen — Electronics — doi:10.3390/electronics15184324
Abstract licence: CC BY
Explanation generated by Synthesis from the abstract — it is not the original paper.