ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:

~ similar to 2605.00065v1· 20 results

cs.CRcs.LGcs.SERecentApr 23, 2026

Who Audits the Auditor? Tamper-Proof Fraud Detection with Blockchain-Anchored Explainable ML

Zhaohui Wang

The paper proposes a tamper-proof fraud detection system that uses blockchain smart contracts to immutably record ML predictions and workflow executions, addressing the vulnerability of controllable a…

View →
cs.CRRecentMar 20, 2026

LiteAtt: A Peer-to-Peer Self-Attestation Framework and Handshake Protocol for Connected IoT Devices

Varun Kohli, Biplab Sikdar

LiteAtt introduces a verifier-less, Peer-to-Peer Self-Attestation (P2P-SA) framework for modern IoT MCUs, enabling mutual authentication and firmware attestation directly within the connection handsha…

View →
quant-phcs.CRRecentMay 13, 2026

QCIVET: A Quantum--Classical Pipeline Integrity Framework with Contract-Based Subtype Verification and Hash-Chained Audit Traces

Esra Yeniaras, Muhammad Amin Karimov

QCIVET introduces a novel contract-based framework to ensure the integrity of hybrid quantum-classical pipelines by verifying both the structure (syntactic) and the behavior (semantic) of quantum stag…

View →
cs.CRcs.CYRecentApr 8, 2026

Aegon: Auditable AI Content Access with Ledger-Bound Tokens and Hardware-Attested Mobile Receipts

Amrish Baskaran, Nirbhay Pherwani, Raghul Krishnan

Aegon is a new protocol that provides an auditable, tamper-evident infrastructure for tracking AI content licensing transactions and compliance receipts.

View →
cs.GTcs.CRRecentApr 3, 2026

Trustless Provenance Trees: A Game-Theoretic Framework for Operator-Gated Blockchain Registries

Ian C. Moore

The paper proposes a trustless framework using dual-layer cryptographic commitments to solve the operator-gating problem in blockchain provenance trees, ensuring verifiable user attribution even when…

View →
cs.CRcs.LGRecentMar 19, 2026

Towards Verifiable AI with Lightweight Cryptographic Proofs of Inference

Pranay Anchuri, Matteo Campanelli, Paul Cesaretti, Rosario Gennaro +3 more

The paper introduces a lightweight, sampling-based cryptographic protocol for verifiable AI inference that drastically reduces proving overhead from minutes to milliseconds by leveraging statistical p…

View →
cs.CRRecentMay 20, 2026

An Evidence-driven Protocol for Trustworthy CI Pipelines

Fernando Castillo, Eduardo Brito, Pille Pullonen-Raudvere, Sebastian Werner +1 more

The paper proposes an evidence-driven protocol combining Deterministic Build Systems and Trusted Execution Environments to provide cryptographically verifiable guarantees of software artifact integrit…

View →
cs.CRcs.IRcs.LGRecentJun 3, 2026

NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

Samuel Ndichu, Tao Ban, Seiichi Ozawa, Takeshi Takahashi +1 more

NLLog introduces a lightweight system that converts structured security logs into natural language sentences for improved anomaly detection, achieving high performance with low false-positive rates su…

View →
cs.CRcs.IRcs.LGRecentJun 3, 2026

NLLog: Lightweight, Explainable SOC Anomaly Detection via Log-to-Language Rewriting

Samuel Ndichu, Tao Ban, Seiichi Ozawa, Takeshi Takahashi +1 more

NLLog is a lightweight pipeline that rewrites system-generated logs into natural language for improved analysis and comprehension.

View →
cs.CRcs.CYcs.ETRecentMar 21, 2026

ChainGuards: Verification of Sensed Data using Permissioned Blockchain Technology

Sara Aguincha, Emanuel Nunes, Samih Eisa, Miguel L. Pardal

ChainGuards is a decentralized system that uses product-specific rules and blockchain technology to verify the reliability of sensor-derived data collected across a supply chain, successfully detectin…

View →
cs.CRRecentApr 18, 2026

From Public-Key Linting to Operational Post-Quantum X.509 Assurance for ML-KEM and ML-DSA: Registry-Driven Policy, Mutation-Based Evaluation, and Import Validation

José Luis Delgado Jiménez

The paper introduces an operational post-quantum X.509 assurance framework that rigorously validates ML-KEM and ML-DSA certificates and keys across various deployment stages, achieving comprehensive d…

View →
cs.CRcs.AIcs.CLRecentJun 2, 2026

Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation

Bagus Rakadyanto Oktavianto Putra, Muhamad Risqi Utama Saputra, Widyawan, Guntur Dharma Putra

The paper introduces an efficient, lightweight LLM framework for smart contract auditing that decouples the audit process into multiple components, achieving high accuracy while significantly reducing…

View →
cs.CRRecentMar 18, 2026

On Securing the Software Development Lifecycle in IoT RISC-V Trusted Execution Environments

Annika Wilde, Samira Briongos, Claudio Soriente, Ghassan Karame

The paper introduces a novel toolkit to enhance RISC-V Trusted Execution Environments (TEEs) by adding modular extensions for secure enclave update, migration, state continuity, and trusted time, ther…

View →
cs.CRRecentMay 7, 2026

Beyond Collection: Measuring the Detection Efficacy of Modern Security Logging Standards

Ryan Holeman, John Hastings, Varghese Mathew Vaidyan

This paper systematically evaluates modern security logging standards (CIM, OCSF, ECS) using a novel framework to quantify their detection efficacy across diverse exploit scenarios, revealing critical…

View →
cs.CRRecentApr 5, 2026

Merkle Tree Certificate Post-Quantum PKI for Kubernetes and Cloud-Native 5G/B5G Core

Lakshya Chopra, Vipin Kumar Rathi

The paper proposes using Merkle Tree Certificates (MTC) to create a post-quantum Public Key Infrastructure (PKI) for Kubernetes and 5G/6G core networks, significantly reducing the overhead associated…

View →
cs.CRRecentMar 30, 2026

Attesting LLM Pipelines: Enforcing Verifiable Training and Release Claims

Zhuoran Tan, Jeremy Singer, Christos Anagnostopoulos

The paper proposes an attestation-aware promotion gate to mitigate supply-chain risks in LLM pipelines by cryptographically verifying and enforcing claims about training and release artifacts before d…

View →
cs.CRcs.AIcs.DCRecentJun 2, 2026

Notarized Agents: Receiver-Attested Confidential Receipts for AI Agent Actions

Juan Figuera

The paper proposes Sello, a novel protocol that allows an owner to reconstruct a tamper-evident and verifiable record of AI agent actions by having a trusted receiver sign and publish receipts of the…

View →
cs.CRRecentApr 16, 2026

EdgeDetect: Importance-Aware Gradient Compression with Homomorphic Aggregation for Federated Intrusion Detection

Noor Islam S. Mohammad

EdgeDetect is a communication-efficient and privacy-preserving federated intrusion detection system that uses gradient binarization and homomorphic encryption to significantly reduce bandwidth usage w…

View →
cs.CRcs.OSRecentMay 30, 2026

Beyond Edge Coverage: Per-Task Data-Flow Extraction at Kernel Function Boundaries via LLVM

Yunseong Kim

The paper introduces BOUNDARY FLOW, an LLVM-based framework that enhances kernel fuzzing and analysis by extracting per-task, state-aware data-flow information (arguments and return values) at functio…

View →
cs.CRcs.CLRecentMay 14, 2026

Talk is (Not) Cheap: A Taxonomy and Benchmark Coverage Audit for LLM Attacks

Karthik Raghu Iyer, Yazdan Jamshidi, Nicholas Bray, Alexey A. Shvets

The paper introduces a comprehensive taxonomy and auditing framework to assess the collective coverage of existing LLM attack benchmarks, revealing significant and systematic gaps in current testing m…

View →