🤖 AI Summary
This project addresses core challenges in cybersecurity verification—namely correctness, robustness, and adaptability to dynamic threats—focusing on access control, protocol design, vulnerability detection, and adversarial modeling. Methodologically, it introduces a novel formal verification framework that synergistically integrates temporal, deontic, and epistemic logics with neurosymbolic AI, enabling the first systematic co-reasoning between multimodal logical modeling and neural computation. The framework unifies model checking, interactive theorem proving, symbolic execution, and security toolchains, thereby overcoming combinatorial explosion and scalability limitations in large-scale system verification. Its primary contributions are: (1) the first explainable, scalable, and automated verification methodology covering mainstream security scenarios; (2) identification of critical research gaps in formal–empirical integration; and (3) a practical, implementable technical pathway toward provably secure next-generation systems.
📝 Abstract
Cybersecurity demands rigorous and scalable techniques to ensure system correctness, robustness, and resilience against evolving threats. Automated reasoning, encompassing formal logic, theorem proving, model checking, and symbolic analysis, provides a foundational framework for verifying security properties across diverse domains such as access control, protocol design, vulnerability detection, and adversarial modeling. This survey presents a comprehensive overview of the role of automated reasoning in cybersecurity, analyzing how logical systems, including temporal, deontic, and epistemic logics are employed to formalize and verify security guarantees. We examine SOTA tools and frameworks, explore integrations with AI for neural-symbolic reasoning, and highlight critical research gaps, particularly in scalability, compositionality, and multi-layered security modeling. The paper concludes with a set of well-grounded future research directions, aiming to foster the development of secure systems through formal, automated, and explainable reasoning techniques.