{"product_id":"security-and-privacy-in-cyberphysical-systems-and-smart-vehicles-9783031933530","title":"Security and Privacy in CyberPhysical Systems and Smart Vehicles","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-layout-grid-align: none; text-autospace: none;\"\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: EN-IN;\"\u003eEmerging Applications.- \u003c\/span\u003e\u003c\/strong\u003e\u003cspan style=\"font-size: 12.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: EN-IN; mso-bidi-font-weight: bold;\"\u003eLeaking 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.- \u003cstrong\u003eSecurity Techniques for Cyber-Physical Systems.- \u003c\/strong\u003eAn 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.- \u003cstrong\u003eHardware and Firmware Security.- \u003c\/strong\u003eHardware-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.- \u003cstrong\u003eAdversarial Attacks in Autonomous Systems.- \u003c\/strong\u003eTransient 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.- \u003cstrong\u003eEthics, Privacy, and Human-Centric Considerations.- \u003c\/strong\u003eEthical 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.- \u003cstrong\u003eDemos.- \u003c\/strong\u003eDemo: All-in-One Solution for Online Abuse Research.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195485348183,"sku":"9783031933530","price":54.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/security-and-privacy-in-cyberphysical-systems-and-smart-vehicles-9783031933530","provider":"Book Curl","version":"1.0","type":"link"}