Beyond Algorithmic Proofs: Towards Implementation-Level Provable Security

2025-08-01

AI Summary

Conventional cryptography emphasizes algorithmic provable security, yet real-world attacks predominantly exploit implementation flaws—such as insecure memory management, insufficient entropy, and uncontrolled key lifecycles—highlighting a critical gap in implementation-level security assurance. Existing countermeasures remain fragmented and lack a unified, formally verifiable framework for modeling and validating implementation security. Method: This paper introduces the paradigm of *implementation-level provable security*, establishing the first structured verification framework covering memory safety, entropy source quality, and key lifecycle governance. It innovatively integrates secure key erasure, dynamic entropy validation, and execution consistency checking. Contribution/Results: We instantiate this framework in SEER, a file destruction system derived from the Babuk ransomware’s encryption core. SEER achieves strong irrecoverability while ensuring bounded attack surface, auditable behavior, and practical performance—demonstrating a principled shift from theoretical provability to empirically verifiable cryptographic security.

Technology Category

• Computer Vision: Adversarial Attacks & Robustness
• Data Mining & Knowledge Management: Representing, Reasoning, and Using Provenance, Trust
• Application Domains: Security

Application Category

• Security and Privacy: Applications of cryptography
• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems
• Semantics and Knowledge: Provenance, trust, security and privacy, and ethical issues in managing semantic data

Abstract

While traditional cryptographic research focuses on algorithm-level provable security, many real-world attacks exploit weaknesses in system implementations, such as memory mismanagement, poor entropy sources, and insecure key lifecycles. Existing approaches address these risks in isolation but lack a unified, verifiable framework for modeling implementation-layer security. In this work, we propose Implementation-Level Provable Security, a new paradigm that defines security in terms of structurally verifiable resilience against real-world attack surfaces during deployment. To demonstrate its feasibility, we present SEER (Secure and Efficient Encryption-based Erasure via Ransomware), a file destruction system that repurposes and reinforces the encryption core of Babuk ransomware. SEER incorporates key erasure, entropy validation, and execution consistency checks to ensure a well-constrained, auditable attack surface. Our evaluation shows that SEER achieves strong irrecoverability guarantees while maintaining practical performance. This work demonstrates a shift from abstract theoretical models toward practically verifiable implementation-layer security.

Problem

• Addressing implementation-level security weaknesses in cryptographic systems
• Developing unified framework for verifiable resilience against real-world attacks
• Ensuring secure file destruction with auditable attack surface constraints

Innovation

• Implementation-Level Provable Security framework
• SEER system with key erasure
• Entropy validation and execution checks