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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
Enhancing Selective Encryption for H.264/AVC Using Advanc...
Mohamed Abomhara, Omar Zakaria, Othman O. Khalifa, A. A Zaidan, · 2022-01-10 · via cs.CR updates on arXiv.org

Multimedia information availability has increased dramatically with the advent of mobile devices. but with this availability comes problems of maintaining the security of information that is displayed in public. Many approaches have been used or proposed for providing security for information dissemination over networks, protection system classified with more specific as encryption information, and combination between video compression and encryption to increase information security. The strength of the combination between Video compression and encryption science is due to the nonexistence of standard algorithms to be used in video compression and encrypting secret video stream. Also there are many ways could be used in video encryption methods such as combining several different encryption methods with video compression to pass a secret video streaming. Furthermore, there is no formal method to be followed to discover an encrypted video. For this reason, the task of this paper becomes difficult. In this paper proposed a new system of video encryption is presented. The proposed system aim to gain a deep understanding of video data security on multimedia technologies, to investigate how encryption and decryption could be implemented for real time video applications, and to enhance the selective encryption for H.264/AVC. The system includes two main functions; first is the encoding/encryption of video stream, through the execution of two processes (the input sequences of video is first compressed by the H.264/AVC encoder, and the encoded bit stream (I-frame) is partially encrypted using AES block cipher). And the second function is the decryption/decoding of the encrypted video through two process (specify the encrypted I-frame stream, decryption of the I-frame, and decoding with H.264/AVC decoder). The system is implemented by using Matlab.