ECC
Elliptic Curve Cryptography performance metrics across different curves (e.g., secp224r1).
Cryptography Analysis
Security Algorithms
Cryptography Performance Analysis
Section titled “Cryptography Performance Analysis”A framework for measuring and comparing the computational performance and memory footprint of various cryptographic schemes, including Elliptic Curve Cryptography (ECC), Key Encapsulation Mechanisms (KEM), and RSA.
Scope of Analysis
Section titled “Scope of Analysis”The project provides tools to benchmark several categories of cryptographic algorithms:
KEM
Key Encapsulation Mechanisms evaluation for secure key exchange.
RSA
Comparison of classic RSA performance with modern alternatives.
Signatures
Efficiency analysis of digital signature schemes.
Measured Metrics
Section titled “Measured Metrics”For each algorithm, the framework tracks two primary categories of data:
1. Memory Usage
Section titled “1. Memory Usage”- Virtual Memory (VmSize): Total virtual memory allocated by the process.
- Resident Set Size (RSS): Actual physical memory occupied by the process.
- Measurements are taken at key stages: initialization, key generation, operation (encryption/signing), and verification.
2. Execution Time
Section titled “2. Execution Time”- Precise timing of core cryptographic operations.
- Multiple runs are conducted to ensure statistical significance and identify outliers.
Technical Details
Section titled “Technical Details”Implementation
Section titled “Implementation”- C-based Tooling: The core measurement logic is implemented in C for low-level access to system metrics.
- System Calls: Uses Linux-specific process information to extract memory statistics accurately.
Components
Section titled “Components”measure_performance.c: Core logic for tracking time and memory.utils.c: Helper functions for cryptographic setup and data management.
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Build the analyzer
Terminal window cmake .make -
Run Benchmarks Execute the generated benchmark tools for specific algorithms to generate performance reports.