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Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops

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Cover of 'Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops'

Table of Contents

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    Book Overview
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    Chapter 1 Supervisory Control Theory in System Safety Analysis
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    Chapter 2 A Method to Support the Accountability of Safety Cases by Integrating Safety Analysis and Model-Based Design
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    Chapter 3 Collecting and Classifying Security and Privacy Design Patterns for Connected Vehicles: SECREDAS Approach
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    Chapter 4 Safety and Security Interference Analysis in the Design Stage
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    Chapter 5 Formalising the Impact of Security Attacks on IoT Safety
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    Chapter 6 Assurance Case Patterns for Cyber-Physical Systems with Deep Neural Networks
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    Chapter 7 Safety-Critical Software Development in C++
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    Chapter 8 An Instruction Filter for Time-Predictable Code Execution on Standard Processors
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    Chapter 9 ISO/SAE DIS 21434 Automotive Cybersecurity Standard - In a Nutshell
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    Chapter 10 WiCAR - Simulating Towards the Wireless Car
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    Chapter 11 Automated Right of Way for Emergency Vehicles in C-ITS: An Analysis of Cyber-Security Risks
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    Chapter 12 Integrity Checking of Railway Interlocking Firmware
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    Chapter 13 LoRaWAN with HSM as a Security Improvement for Agriculture Applications
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    Chapter 14 Multilevel Runtime Security and Safety Monitoring for Cyber Physical Systems Using Model-Based Engineering
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    Chapter 15 Towards a DevOps Approach in Cyber Physical Production Systems Using Digital Twins
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    Chapter 16 Leveraging Semi-formal Approaches for DepDevOps
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    Chapter 17 Towards Building Data Trust and Transparency in Data-Driven Business Applications
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    Chapter 18 Distributed AI for Special-Purpose Vehicles
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    Chapter 19 Cynefin Framework, DevOps and Secure IoT
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    Chapter 20 Creating It from SCRATCh: A Practical Approach for Enhancing the Security of IoT-Systems in a DevOps-Enabled Software Development Environment
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    Chapter 21 Revisiting Neuron Coverage and Its Application to Test Generation
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    Chapter 22 A Principal Component Analysis Approach for Embedding Local Symmetries into Deep Learning Algorithms
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    Chapter 23 A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven Components
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    Chapter 24 Rule-Based Safety Evidence for Neural Networks
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    Chapter 25 Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks
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    Chapter 26 Positive Trust Balance for Self-driving Car Deployment
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    Chapter 27 Integration of Formal Safety Models on System Level Using the Example of Responsibility Sensitive Safety and CARLA Driving Simulator
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    Chapter 28 A Safety Case Pattern for Systems with Machine Learning Components
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    Chapter 29 Structuring the Safety Argumentation for Deep Neural Network Based Perception in Automotive Applications
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    Chapter 30 An Assurance Case Pattern for the Interpretability of Machine Learning in Safety-Critical Systems
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    Chapter 31 A Structured Argument for Assuring Safety of the Intended Functionality (SOTIF)
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Title
Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops
Published by
Springer International Publishing, October 2020
DOI 10.1007/978-3-030-55583-2
ISBNs
978-3-03-055582-5, 978-3-03-055583-2
Editors

Casimiro, António, Ortmeier, Frank, Schoitsch, Erwin, Bitsch, Friedemann, Ferreira, Pedro

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