TL;DR
This paper introduces a novel secure lineage verification system based on Directed Acyclic Graphs (DAGs) and homomorphic hash functions, VERDICT, which incorporates bucket indexing and Merkle tree verification to provide cryptographic guarantees of data and event existence.
This report systematically presents attack methodologies, defense mechanisms, security proofs, and experimental evaluations on seven real-world datasets as well as introducing BlindGES, an enhanced scheme incorporating a Merge-and-Divide mechanism and two-level multimap index that reduces one-to-one mappings to below 2...
Results demonstrate that jointly preserving cryptographic integrity symmetry and identifying activation-level asymmetry provides substantially stronger prompt-injection resilience than either verification mechanism alone.
Constructing syntactically correct and cryptographically valid message sequences is essential for protocol state machine learning, conformance testing, and fuzzing. Unlike plaintext protocols, cryptographic protocols involve complex cross-message state dependencies and cryptographic computation constraints. Existing au...
A privacy-preserving hybrid middleware architecture that enforces a local trust boundary as its primary design constraint that is model-agnostic, requires no retraining of the underlying LLM, and is compatible with black-box API deployments is proposed and evaluated.
The findings indicate that continuous, priority-aware anti-entropy reconciliation offers a more favorable latency-correctness-cost balance for security-critical data platforms than either of the two conventional extremes, with direct implications for how cloud providers protect infrastructure supporting government, fin...
Findings indicated that the framework established a mathematically self-contained isolation boundary that supported resilience among geographically separated organizations, addressing a persistent limitation of conventional cryptographic protocols in unidirectional industrial environments.
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