Security and Privacy in Cyber-Physical Systems and Smart Vehicles

Third EAI International Conference, SmartSP 2025, Salt Lake City, UT, USA, December 1–2, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-33700-9
Verlag: Springer

Buch, Englisch, 320 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the refereed proceedings of the Third EAI International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles, SmartSP 2025, held in Salt lake City, UT, USA, during December 1–2, 2025.

The 10 full papers, 6 short papers, 2 special tracks, and 2 demo papers included in this book were carefully reviewed and selected from 48 submissions. They are organized into the following topical sections: Secure CPS and IoT; Attacks against CPS and IoT; Threat Detection and ML Security; and Special Topic: Human-Machine Interfaces in Smart Vehicles.

Zielgruppe

Research

Autoren/Hrsg.

Cheng, Long

Anwar, Fatima

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme

Inhaltsverzeichnis

.- Secure CPS and IoT .

.- Developing MCP-based LLM Agents for Secure Autonomous Vehicle Planning.

.- Property-Guided Cyber-Physical Reduction and Surrogation for Safety Analysis in Robotic Vehicles.

.- TAPAssure: Safe Automation in Smart Homes with LLMs and Formal Verification.

.- Applying Cyber Informed Engineering Principles to Secure SoC Design for Electric Vehicle Charging.

.- Privacy-Preserving Multimodal Fall Detection in Smart Homes Using Dynamic Confidence-Weighted Fusion.

.- Digitally Signed SBOM for Secure ECU Firmware Updates.

.- Attacks against CPS and IoT .

.- Silent Sabotage: Internal State Triggered Backdoor Attacks on LLM-Powered Robotic Systems.

.- Bypassing CARB Regulations and Manipulating Vehicle Compliance Data via DLL Hijacking.

.- Can You Trust What You See? Alpha Channel No-Box Attacks on Video Object Detection.

.- Threat Detection and ML Security .

.- Security and Privacy Challenges in Embedded Machine Learning.

.- Zero Trust Security – Technologies, Applications, and Adoption Challenges.

.- Multi-Domain CPS Vulnerability Detection via CWESpecific Transformer Ensembles: A Cross-Attention Approach for IoT, Industrial, and Vehicular Systems.

.- Engineering Attack Vectors and Detecting Anomalies in Additive Manufacturing.

.- Special Topic: Human-Machine Interfaces in Smart Vehicles .

.- Design Challenges for Objective and Implicit Experience Measures in Mixed Reality.

.- Human Modeling Gaps: Safety, Security, and Privacy Risks in Automated Driving.

.- Dataset Poisoning Attacks on Behavioral Cloning Policies.

.- Designing a Secure and Resilient Distributed Smartphone Participant Data Collection System.

.- Adversarial Commercial Vehicle Datasets with Protocol Aware Annotation for Cybersecurity Research.

.- Demo .

.- SPHERE CPS Enclave: A Reconfigurable Testbed for Industrial Control System Security Experimentation (Demo).

.- Vulnerability Analysis on Multi-modal Sensor Fusion under Physical Adversarial Attacks.