惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

IT之家
IT之家
腾讯CDC
博客园 - Franky
S
SegmentFault 最新的问题
美团技术团队
阮一峰的网络日志
阮一峰的网络日志
J
Java Code Geeks
Y
Y Combinator Blog
Engineering at Meta
Engineering at Meta
Microsoft Security Blog
Microsoft Security Blog
MongoDB | Blog
MongoDB | Blog
I
InfoQ
T
Tailwind CSS Blog
Hugging Face - Blog
Hugging Face - Blog
B
Blog RSS Feed
博客园 - 叶小钗
博客园_首页
有赞技术团队
有赞技术团队
雷峰网
雷峰网
量子位
小众软件
小众软件
月光博客
月光博客
U
Unit 42
D
DataBreaches.Net

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
Security Challenges of Complex Space Applications: An Emp...
Tomas Paulik · 2024-08-15 · via cs.CR updates on arXiv.org

Software applications in the space and defense industries have their unique characteristics: They are complex in structure, mission-critical, and often targets of state-of-the-art cyber attacks sponsored by adversary nation states. These applications have typically a high number of stakeholders in their software component supply chain, data supply chain, and user base. The aforementioned factors make such software applications potentially vulnerable to bad actors, as the widely adopted DevOps tools and practices were not designed for high-complexity and high-risk environments. In this study, I investigate the security challenges of the development and management of complex space applications, which differentiate the process from the commonly used practices. My findings are based on interviews with five domain experts from the industry and are further supported by a comprehensive review of relevant publications. To illustrate the dynamics of the problem, I present and discuss an actual software supply chain structure used by Thales Alenia Space, which is one of the largest suppliers of the European Space Agency. Subsequently, I discuss the four most critical security challenges identified by the interviewed experts: Verification of software artifacts, verification of the deployed application, single point of security failure, and data tampering by trusted stakeholders. Furthermore, I present best practices which could be used to overcome each of the given challenges, and whether the interviewed experts think their organization has access to the right tools to address them. Finally, I propose future research of new DevSecOps strategies, practices, and tools which would enable better methods of software integrity verification in the space and defense industries.