Encoding Unit for Data Words with Controlled Hamming Distance
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Solution Overview
Problem
Existing data processing devices are vulnerable to side channel attacks, particularly differential power analysis (DPA) attacks, which exploit information leakage through Hamming distance and weight.
Innovation Solution
Incorporating an encoding unit that transforms input data to encoded data words with a specified Hamming distance and/or weight, ensuring at least 50% of encoded data words share these properties, thereby reducing information leakage during processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data words are processed directly without encoding, then processing speed and simplicity are improved, but security against side channel attacks deteriorates
Solution Approach 1:
The encoding unit performs preliminary encoding of input data words before they enter the processing module. This encoding is done in advance to transform the data into a form with constant Hamming weight or controlled Hamming distance, preventing information leakage during subsequent processing operations without affecting the processing speed of the main computational logic.
Solution Approach 2:
The encoding unit acts as an intermediary component between the input interface and the processing module. It transforms the original data words into encoded representations that maintain the necessary computational properties while eliminating side channel vulnerabilities, serving as a protective layer that mediates between raw data and processing operations.
2Reliability
If encoding is applied to all data words to ensure constant Hamming weight/distance, then security is improved, but device complexity increases
Solution Approach 1:
The encoding unit changes the Hamming weight or Hamming distance parameters of the input data words to constant or controlled values. By transforming the data representation while maintaining computational functionality, the system achieves security without requiring fundamental changes to the processing architecture, thus limiting the increase in device complexity.
3Loss of information
If encoding transforms all input data to have uniform Hamming properties, then information leakage is reduced, but data processing flexibility deteriorates
Solution Approach 1:
The encoding is applied selectively to specific parts of the data processing pipeline where side channel attacks are most vulnerable, while maintaining different processing paths or modes for different operational requirements. This allows the system to achieve security where needed without uniformly constraining all data processing operations, preserving necessary flexibility for different computational tasks.
Data Source
AI summary
An electronic device for processing data includes: an input interface for receiving input data; a processing module for processing data; and an encoding unit configured to encode data words received at the input interface as input data, in order to obtain encoded data words. The encoding unit is configured to encode the data words in such a manner that a specified proportion of all encoded data words have a specified Hamming distance and/or a specified Hamming weight. The processing module is configured to process the encoded data words.