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cs.CR updates on arXiv.org

Agentic Vulnerability Reasoning on Windows COM Binaries From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems Token-Efficient Change Detection in LLM APIs Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification Trident: Improving Malware Detection with LLMs and Behavioral Features When Alignment Isn't Enough: Response-Path Attacks on LLM Agents RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Text Steganography with Dynamic Codebook and Multimodal Large Language Model An AI Agent Execution Environment to Safeguard User Data TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
Non-Repudiation for VoIP Communication in UMTS and LTE Ne...
Umut Can Cabuk · 2020-11-22 · via cs.CR updates on arXiv.org

This thesis work presents an architectural design of a system to bring non-repudiation concept into the IP based digital voice conversations (VoIP) in LTE and UMTS networks, using electronic signatures, by considering a centralized approach. Moreover, functionalities and technical methods to support such a system are researched. Last but not least, ways to introduce this system as a public and commercial service are discussed. Non-repudiation concept provided by electronic signatures and related cryptographic functions, as introduced in this study, allow using digital records of these voice conversations as legally binding statements or proofs likewise and even instead of traditional wet signatures. The system is designed as a subsystem to IMS based 3G and 4G networks and maximum compatibility with current configurations, components and interfaces of these networks is intended. On the other hand non-repudiation is achieved by special signature, storage and verification units located in the IMS core network. Voice data is proposed to be processed in MRF unit of the IMS. Additionally, a USSD/USSI based special solution to initiate these signed calls is developed. According to the proposed scheme; during a signed call, two unidirectional voice streams originating from two parties of the call, which are transferred in IP and UDP encapsulated RTP packages, are received by the signature unit and interweaved using their arrival times, so that they become a unified stream. Signature unit generates hashes of groups of received packages and signs them using PKI algorithms and applying hash/signature chaining to increase integrity protection and to empower non-repudiation. Then, it forwards packages and signature information to the storage unit. Storage unit keeps all the call records, signature data and metadata of these calls. Verification unit later gathers relevant data from the storage unit...