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Computer Safety, Reliability, and Security

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Cover of 'Computer Safety, Reliability, and Security'

Table of Contents

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    Book Overview
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    Chapter 1 Research on the Classification of the Relationships Among the Same Layer Elements in Assurance Case Structure for Evaluation
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    Chapter 2 Continuous Argument Engineering: Tackling Uncertainty in Machine Learning Based Systems
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    Chapter 3 The Assurance Recipe: Facilitating Assurance Patterns
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    Chapter 4 Incorporating Attacks Modeling into Safety Process
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    Chapter 5 Assurance Case Considerations for Interoperable Medical Systems
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    Chapter 6 Two Decades of Assurance Case Tools: A Survey
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    Chapter 7 MMINT-A: A Tool for Automated Change Impact Assessment on Assurance Cases
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    Chapter 8 D-Case Steps: New Steps for Writing Assurance Cases
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    Chapter 9 A Testbed for Trusted Telecommunications Systems in a Safety Critical Environment
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    Chapter 10 Constraint-Based Testing for Buffer Overflows
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    Chapter 11 Multi-layered Approach to Safe Navigation of Swarms of Drones
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    Chapter 12 Dynamic Risk Management for Cooperative Autonomous Medical Cyber-Physical Systems
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    Chapter 13 Towards (Semi-)Automated Synthesis of Runtime Safety Models: A Safety-Oriented Design Approach for Service Architectures of Cooperative Autonomous Systems
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    Chapter 14 Co-Engineering-in-the-Loop
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    Chapter 15 STPA Guided Systems Engineering
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    Chapter 16 A Quantitative Approach for the Likelihood of Exploits of System Vulnerabilities
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    Chapter 17 Safety and Security in a Smart Production Environment
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    Chapter 18 Survey of Scenarios for Measurement of Reliable Wireless Communication in 5G
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    Chapter 19 Application of IEC 62443 for IoT Components
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    Chapter 20 Dependable Outlier Detection in Harsh Environments Monitoring Systems
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    Chapter 21 Fault Trees vs. Component Fault Trees: An Empirical Study
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    Chapter 22 Challenges in Assuring Highly Complex, High Volume Safety-Critical Software
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    Chapter 23 Comparing Risk Identification in Hazard Analysis and Threat Analysis
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    Chapter 24 Towards Risk Estimation in Automated Vehicles Using Fuzzy Logic
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    Chapter 25 Integration Analysis of a Transmission Unit for Automated Driving Vehicles
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    Chapter 26 In Search of Synergies in a Multi-concern Development Lifecycle: Safety and Cybersecurity
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    Chapter 27 Counter Attacks for Bus-off Attacks
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    Chapter 28 Applications of Pairing-Based Cryptography on Automotive-Grade Microcontrollers
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    Chapter 29 Towards an Integrated Penetration Testing Environment for the CAN Protocol
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    Chapter 30 Enhancing Sensor Capabilities of Open-Source Simulation Tools to Support Autonomous Vehicles Safety Validation
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    Chapter 31 A Security Analysis of the ETSI ITS Vehicular Communications
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    Chapter 32 Real-Time Driver Behaviour Characterization Through Rule-Based Machine Learning
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    Chapter 33 “Boxing Clever”: Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift
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    Chapter 34 Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
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    Chapter 35 What Is Acceptably Safe for Reinforcement Learning?
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    Chapter 36 Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty
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    Chapter 37 Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving
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    Chapter 38 Design of a Knowledge-Base Strategy for Capability-Aware Treatment of Uncertainties of Automated Driving Systems
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    Chapter 39 Uncertainty in Machine Learning: A Safety Perspective on Autonomous Driving
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    Chapter 40 Considerations of Artificial Intelligence Safety Engineering for Unmanned Aircraft
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    Chapter 41 Could We Issue Driving Licenses to Autonomous Vehicles?
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    Chapter 42 Concerns on the Differences Between AI and System Safety Mindsets Impacting Autonomous Vehicles Safety
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    Chapter 43 The Moral Responsibility Gap and the Increasing Autonomy of Systems
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    Chapter 44 Design Requirements for a Moral Machine for Autonomous Weapons
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    Chapter 45 AI Safety and Reproducibility: Establishing Robust Foundations for the Neuropsychology of Human Values
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    Chapter 46 A Psychopathological Approach to Safety Engineering in AI and AGI
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    Chapter 47 Why Bad Coffee? Explaining Agent Plans with Valuings
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    Chapter 48 Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning
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    Chapter 49 Improving Image Classification Robustness Using Predictive Data Augmentation
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