Understanding the Reality of Quantum-Proof Cryptography
Transitioning to post-quantum cryptography (PQC) does not guarantee safety against quantum threats. While advanced lattice-based algorithms are challenging for quantum computers, actual hardware vulnerabilities persist. Electromagnetic (EM) leaks and side-channel attacks expose sensitive keys, even remotely, through methods like the “Hertzbleed” attacks. Misconceptions about AI being a “black box” allow malicious actors to extract crucial data, such as private patient information.
Implementations of winners like Kyber and Dilithium showcase individual weaknesses that attackers can exploit, especially through Dynamic Voltage and Frequency Scaling (DVFS) in GPUs. Effective mitigation strategies are vital, including context-aware enforcement, granular protection, and dynamic task shuffling to obscure power spikes.
Continuous monitoring and validation, including TVLA testing and compliance certifications (e.g., FIPS 140-3), are essential to ensure AI systems remain secure against evolving threats. Prioritizing hardware security is crucial for safeguarding sensitive data in high-stakes environments.
