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Computer Safety, Reliability, and Security

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Cover of 'Computer Safety, Reliability, and Security'

Table of Contents

  1. Altmetric Badge
    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
Overall attention for this book and its chapters
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Title
Computer Safety, Reliability, and Security
Published by
Springer International Publishing, September 2018
DOI 10.1007/978-3-319-99229-7
ISBNs
978-3-31-999228-0, 978-3-31-999229-7
Editors

Gallina, Barbara, Skavhaug, Amund, Schoitsch, Erwin, Bitsch, Friedemann

Twitter Demographics

The data shown below were collected from the profiles of 35 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 38%
Researcher 5 17%
Student > Master 4 14%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 1 3%
Unknown 4 14%
Readers by discipline Count As %
Engineering 14 48%
Computer Science 6 21%
Physics and Astronomy 1 3%
Environmental Science 1 3%
Unknown 7 24%