Security and Privacy in Cyber-Physical Systems and Smart Vehicles (eBook, PDF)

Second EAI International Conference, SmartSP 2024, New Orleans, LA, USA, November 7-8, 2024, Proceedings
Redaktion: Hei, Xiali; Kim, Kyungtae; Kim, Taegyu; Garcia, Luis

• Format: PDF

Produktbeschreibung

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 from 47 submissions. The proceedings focus on Emerging Applications, Hardware and Firmware Security, Adversarial Attacks in Autonomous Systems, Ethics, Privacy, Human-Centric Considerations and Security Techniques for Cyber-Physical Systems.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 368
• Erscheinungstermin: 26. Juni 2025
• Englisch
• ISBN-13: 9783031933547
• Artikelnr.: 74738249

Inhaltsangabe

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.