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Product details:
- ISBN 10: 3319992295
- ISBN 13: 9783319992297
- Author: Barbara Gallina
This book constitutes the refereed proceedings of five workshops co-located with SAFECOMP 2018, the 37th International Conference on Computer Safety, Reliability, and Security, held in Västerås, Sweden, in September 2018. The 28 revised full papers and 21 short papers presented together with 5 introductory papers to each workshop were carefully reviewed and selected from 73 submissions. This year’s workshops are: ASSURE 2018 – Assurance Cases for Software-Intensive Systems; DECSoS 2018 – ERCIM/EWICS/ARTEMIS Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems; SASSUR 2018 – Next Generation of System Assurance Approaches for Safety-Critical Systems; STRIVE 2018 – Safety, securiTy, and pRivacy In automotiVe systEms; and WAISE 2018 – Artificial Intelligence Safety Engineering. The chapter ‘“Boxing Clever”: Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift’ is available open access under an Open GovernmentLicense via link.springer.com.
Table of contents:
- 6th International Workshop on Assurance Cases for Software-Intensive Systems (ASSURE 2018)
- Research on the Classification of the Relationships Among the Same Layer Elements in Assurance Case Structure for Evaluation
- Continuous Argument Engineering: Tackling Uncertainty in Machine Learning Based Systems
- The Assurance Recipe: Facilitating Assurance Patterns
- Incorporating Attacks Modeling into Safety Process
- Assurance Case Considerations for Interoperable Medical Systems
- Two Decades of Assurance Case Tools: A Survey
- MMINT-A: A Tool for Automated Change Impact Assessment on Assurance Cases
- D-Case Steps: New Steps for Writing Assurance Cases
- 13th International ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Embedded Cyber-Physical Systems and Systems-of-Systems (DECSoS 2018)
- A Testbed for Trusted Telecommunications Systems in a Safety Critical Environment
- Constraint-Based Testing for Buffer Overflows
- Multi-layered Approach to Safe Navigation of Swarms of Drones
- Dynamic Risk Management for Cooperative Autonomous Medical Cyber-Physical Systems
- Towards (Semi-)Automated Synthesis of Runtime Safety Models: A Safety-Oriented Design Approach for Service Architectures of Cooperative Autonomous Systems
- Co-Engineering-in-the-Loop
- STPA Guided Systems Engineering
- A Quantitative Approach for the Likelihood of Exploits of System Vulnerabilities
- Safety and Security in a Smart Production Environment
- Survey of Scenarios for Measurement of Reliable Wireless Communication in 5G
- Application of IEC 62443 for IoT Components
- Dependable Outlier Detection in Harsh Environments Monitoring Systems
- 7th International Workshop on Next Generation of System Assurance Approaches for Safety-Critical Systems (SASSUR 2018)
- Fault Trees vs. Component Fault Trees: An Empirical Study
- Challenges in Assuring Highly Complex, High Volume Safety-Critical Software
- Comparing Risk Identification in Hazard Analysis and Threat Analysis
- Towards Risk Estimation in Automated Vehicles Using Fuzzy Logic
- Integration Analysis of a Transmission Unit for Automated Driving Vehicles
- In Search of Synergies in a Multi-concern Development Lifecycle: Safety and Cybersecurity
- 1st International Workshop on Safety, securiTy, and pRivacy In automotiVe systEms (STRIVE 2018)
- Counter Attacks for Bus-off Attacks
- Applications of Pairing-Based Cryptography on Automotive-Grade Microcontrollers
- Towards an Integrated Penetration Testing Environment for the CAN Protocol
- Enhancing Sensor Capabilities of Open-Source Simulation Tools to Support Autonomous Vehicles Safety Validation
- A Security Analysis of the ETSI ITS Vehicular Communications
- Real-Time Driver Behaviour Characterization Through Rule-Based Machine Learning
- 1st International Workshop on Artificial Intelligence Safety Engineering (WAISE 2018)
- “Boxing Clever”: Practical Techniques for Gaining Insights into Training Data and Monitoring Distribution Shift
- Mitigation of Policy Manipulation Attacks on Deep Q-Networks with Parameter-Space Noise
- What Is Acceptably Safe for Reinforcement Learning?
- Uncertainty in Machine Learning Applications: A Practice-Driven Classification of Uncertainty
- Towards a Framework to Manage Perceptual Uncertainty for Safe Automated Driving
- Design of a Knowledge-Base Strategy for Capability-Aware Treatment of Uncertainties of Automated Driving Systems
- Uncertainty in Machine Learning: A Safety Perspective on Autonomous Driving
- Considerations of Artificial Intelligence Safety Engineering for Unmanned Aircraft
- Could We Issue Driving Licenses to Autonomous Vehicles?
- Concerns on the Differences Between AI and System Safety Mindsets Impacting Autonomous Vehicles Safety
- The Moral Responsibility Gap and the Increasing Autonomy of Systems
- Design Requirements for a Moral Machine for Autonomous Weapons
- AI Safety and Reproducibility: Establishing Robust Foundations for the Neuropsychology of Human Values
- A Psychopathological Approach to Safety Engineering in AI and AGI
- Why Bad Coffee? Explaining Agent Plans with Valuings
- Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning
- Improving Image Classification Robustness Using Predictive Data Augmentation
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