Computer Safety, Reliability, and Security

38th International Conference, SAFECOMP 2019, Turku, Finland, September 11–13, 2019, Proceedings

AvAlexander Romanovsky,Elena Troubitsyna

Häftad, Engelska, 2019

Del 11698 i serien Lecture Notes in Computer Science

649 kr

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Beskrivning

This book constitutes the proceedings of the 38th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2019, held in Turku, Finland, in September 2019.The 16 full and 5 short papers included in this volume were carefully reviewed and selected from 65 submissions. They were organized in topical sections named: formal verification; autonomous driving; safety and reliability modeling; security engineering and risk assessment; safety argumentation; verification and validation of autonomous systems; and interactive systems and design validation.

Produktinformation

Utgivningsdatum:2019-08-08
Mått:155 x 235 x 19 mm
Vikt:517 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:316
Förlag:Springer Nature Switzerland AG
ISBN:9783030266004

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Formal Verification.- Towards Zero Alarms in Sound Static Analysis of Finite State Machines.- Graceful Degradation Design Process for Autonomous Driving System.- Formal Verification of Memory Preservation of x86-64 Binaries.- Autonomous Driving.- Brace Touch: a Dependable, Turbulence-Tolerant, Multi-Touch Interaction Technique for Interactive Cockpits.- Fitness Functions for Testing Automated and Autonomous Driving Systems.- A SysML Profile for Fault Trees — linking safety models to system design.- Safety and Reliability Modeling.- Spectrum-Based Fault Localization in Deployed Embedded Systems with Driver Interaction Models.- Forecast Horizon for Automated Safety Actions in Automated Driving Systems.- Digital Forensics in Industrial Control Systems.- Security Engineering and Risk Assessment.- Efficient Model-level Reliability Analysis of Simulink Models.- Increasing Trust in Data-Driven Model Validation - A Framework for Probabilistic Augmentation of Images and Meta-Data Generation using Application Scope Characteristics.- A Pattern for Arguing the Assurance of Machine Learning in Medical Diagnosis Systems.- Safety Argumentation.- BACRank: Ranking Building Automation and Control System Components by Business Continuity Impact.- Model-Based Run-Time Synthesis of Architectural Configurations for Adaptive MILS Systems.- Dynamic risk assessment enabling automated interventions for medical cyber-physical systems.- Verification and Validation of Autonomous Systems.- Practical Experience Report: Engineering Safe Deep Neural Networks for Automated Driving Systems.- Autonomous Vehicles Meet the Physical World: RSS, Variability, Uncertainty, and Proving Safety.- Automated Evidence Analysis of Safety Arguments using Digital Dependability Identities.- Interactive Systems and Design Validation.- SafeDeML: On Integrating the Safety Design into the System Model.- Towards Trusted Security Context Exchange Protocol for SDN based Low Latency Networks.- Devil’s in the detail:Through-life safety and security co-assurance using SSAF.