Security and Privacy in Cyber-Physical Systems and Smart Vehicles Second EAI International Conference, SmartSP 2024, New Orleans, LA, USA, November 7–8, 2024, Proceedings /

This book LNICST 622 constitutes the refereed proceedings of the Second EAI International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles, SmartSP 2024, held in New Orleans, LA, USA, during November 7–8, 2024. The 18 full papers were carefully reviewed an selected fro...

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Korporativní autor: SpringerLink (Online service)
Další autoři: Hei, Xiali (Editor), Garcia, Luis (Editor), Kim, Taegyu (Editor), Kim, Kyungtae (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Vydání:1st ed. 2025.
Edice:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 622
Témata:
On-line přístup:https://doi.org/10.1007/978-3-031-93354-7
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Obsah:
  • Emerging Applications
  • Leaking Through the Physics: Covert Cyber-Physical Data Exfiltration Through Unobserved Physics
  • AcousticScope: Understanding Biases in Voice Interaction via Automated Acoustic Testing
  • Practitioner Paper: Decoding Intellectual Property: Acoustic and Magnetic Side-channel Attack on a 3D Printer
  • Security Techniques for Cyber-Physical Systems
  • An efficient and applicable physical fingerprinting framework for the controller area network utilizing deep learning algorithm trained on recurrence plots
  • Software Bill of Materials Management for Embedded Vehicle Systems
  • ProvPredictor: Utilizing Provenance Information for Real-Time IoT Policy Enforcement
  • A Case Study of API Design for Interoperability and Security of the Internet of Things
  • ShadowConn: Breaking the Entanglement of Cross-platform IoT Delegation in Multi-user Environments
  • Hardware and Firmware Security
  • Hardware-assisted Runtime In-vehicle ECU Firmware Self-attestation and Self-repair
  • Unveiling the Operation and Configuration of a Real-World Bulk Substation Network
  • RustBound: Function Boundary Detection over Rust Stripped Binaries
  • Adversarial Attacks in Autonomous Systems
  • Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
  • Assessing Deep Learning Model Accuracy in Varied Surface Conditions for CPS: A Comparative Study
  • Practitioner Paper: A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles
  • Ethics, Privacy, and Human-Centric Considerations
  • Ethical Considerations and Policy Implications for Large Language Models: Guiding Responsible Development and Deployment
  • Integrating Human Preferences for Moral Decision Making in Autonomous Vehicles
  • Privacy-Enrooted Car Systems (PECS): Preliminary Design
  • Demos
  • Demo: All-in-One Solution for Online Abuse Research.