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Computer Safety, Reliability, and Security: SAFECOMP 2019 Workshops, ASSURE, DECSoS, SASSUR, STRIVE, and WAISE, Turku, Finland, September 10, 2019, Proceedings 2019 ed. [Mīkstie vāki]

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  • Formāts: Paperback / softback, 412 pages, height x width: 235x155 mm, weight: 658 g, 90 Illustrations, color; 75 Illustrations, black and white; XVI, 412 p. 165 illus., 90 illus. in color., 1 Paperback / softback
  • Sērija : Programming and Software Engineering 11699
  • Izdošanas datums: 09-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030262499
  • ISBN-13: 9783030262495
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  • Formāts: Paperback / softback, 412 pages, height x width: 235x155 mm, weight: 658 g, 90 Illustrations, color; 75 Illustrations, black and white; XVI, 412 p. 165 illus., 90 illus. in color., 1 Paperback / softback
  • Sērija : Programming and Software Engineering 11699
  • Izdošanas datums: 09-Aug-2019
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 3030262499
  • ISBN-13: 9783030262495
Citas grāmatas par šo tēmu:
This book constitutes the proceedings of the Workshops held in conjunction with SAFECOMP 2019, 38th International Conference on Computer Safety, Reliability and Security, in September 2019 in Turku, Finland.





The 32 regular papers included in this volume were carefully reviewed and selected from 43 submissions; the book also contains two invited papers. The workshops included in this volume are:





ASSURE 2019: 7th International Workshop on Assurance Cases for Software-Intensive Systems





DECSoS 2019: 14th ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems





SASSUR 2019: 8th International Workshop on Next Generation of System Assurance Approaches for Safety-Critical Systems





STRIVE 2019: Second International Workshop on Safety, securiTy, and pRivacy In automotiVe systEms





WAISE 2019: Second International Workshop on Artificial Intelligence Safety Engineering





 
7th International Workshop on Assurance Cases for Software-intensive
Systems (ASSURE 2019).- Combining GSN and STPA for safety arguments.- A
modelling approach for system life cycles assurance.- Contract-based Modular
Safety Cases for Incremental Certification of Product Lines.-  14th
International ERCIM/EWICS/ARTEMIS Workshop on Dependable Smart Cyber-Physical
Systems and Systems-of-Systems (DECSoS 2019).- Comparative Evaluation of
Security Fuzzing Approaches.- Assuring compliance with protection profiles
with Threatget.- A Survey on the Applicability of Safety, Security and
Privacy Standards in Developing Dependable Systems.- Combined Approach for
Safety and Security.- Towards Integrated Quantitative Security and Safety
Risk Assessment.- Potential Use of Safety Analysis for Risk Assessments in
Smart City Sensor Network Applications.- Increasing Safety of Neural Networks
in Medical Devices.- Smart Wristband for Voting.- 8th International Workshop
on Next Generation of System Assurance Approaches for Safety-Critical Systems
(SASSUR 2019).- Automotive Cybersecurity standards - relation and overview.-
A Runtime Safety Monitoring Approach for Adaptable Autonomous Systems.-
Structured Reasoning for Socio-Technical Factors of Safety-Security
Assurance.- The SISTER approach for Verification and Validation: a
lightweight process for reusable results.- Introduction to the Safecomp 2018
Workshop on Safety, securiTy, and pRivacy In automotiVe systEms (STRIVE
2018).- Demo: CANDY CREAM.- CarINA - Car sharing with IdeNtity based Access
control re-enforced by TPM.- Combining Safety and Security in Autonomous Cars
Using Blockchain Technologies.- Enhancing CAN security by means of
lightweight stream-ciphers and protocols.- Analysis of Security Overhead in
Broadcast V2V Communications.- You overtrust your printer.- 2nd International
Workshop on Artificial Intelligence Safety Engineering (WAISE 2018).- Three
Reasons Why: Framing the Challenges of Assuring AI.- Improving ML Safety with
Partial Specifications.- An Abstraction-Refinement Approach to Formal
Verification of Tree Ensembles.- RL-Based Method for Benchmarking the
Adversarial Resilience and Robustness of Deep Reinforcement Learning
Policies.- A Safety Standard Approach for Fully Autonomous Vehicles 
(Position Paper).- Open Questions in Testing of Learned Computer Vision
Functions for Automated Driving.- Adaptive Deployment of Safety Monitors for
Autonomous Systems.- Uncertainty Wrappers for Data-driven Models - Increase
the Transparency of AI/ML-based Models through Enrichment with Dependable
Situation-aware Uncertainty Estimates.- Confidence Arguments for Evidence of
Performance in Machine Learning for Highly Automated Driving Functions.-
Bayesian Uncertainty Quantification with Synthetic Data.- A Self-Certifiable
Architecture for Critical Systems Powered by Probabilistic Logic Artificial
Intelligence.- Tackling Uncertainty in Safety Assurance for Machine Learning:
Continuous Argument Engineering with Attributed Tests.- The Moral Machine: Is
It Moral.