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Computer Safety, Reliability, and Security : 40th International Conference, SAFECOMP 2021, York, UK, September 8-10, 2021, Proceedings / edited by Ibrahim Habli, Mark Sujan, Friedemann Bitsch.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Habli, Ibrahim, Editor.
Sujan, Mark., Editor.
Bitsch, Friedemann, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Programming and software engineering 2945-9168 ; SL 2, 12852
Programming and Software Engineering, 2945-9168 ; 12852
Language:
English
Subjects (All):
Computer engineering.
Computer networks.
Software engineering.
Application software.
Robotics.
Microprogramming.
Data protection.
Computer Engineering and Networks.
Software Engineering.
Computer and Information Systems Applications.
Control Structures and Microprogramming.
Data and Information Security.
Local Subjects:
Computer Engineering and Networks.
Software Engineering.
Computer and Information Systems Applications.
Robotics.
Control Structures and Microprogramming.
Data and Information Security.
Physical Description:
1 online resource (XIV, 278 pages) : 124 illustrations, 87 illustrations in color.
Edition:
1st ed. 2021.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2021.
System Details:
text file PDF
Summary:
This book constitutes the proceedings of the 40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021, which took place in York, UK, in September 2021. The 17 full papers included in this volume were carefully reviewed and selected from 76 submissions. They were organized in topical sections as follows: machine learning safety assurance; security engineering; safety and assurance cases; machine learning applications; safety validation and simulation; and fault tolerance.
Contents:
Machine Learning Safety Assurance
Evaluation Framework for Performance Limitation under Sensor Attack
Could We Relieve AI/ML Models of the Responsibility of Providing Dependable Uncertainty Estimates? A Study on Outside-Model Uncertainty Estimates
Towards certification of a reduced footprint ACAS-Xu system: A hybrid ML-based solution
Security Engineering
IT design for resiliency using extreme value analysis
Evaluating and Comparing Contextually Relevant Robustness for Neural Network Classifiers
SAE 21434-based Risk Assessment of Security Incidents in Automated Road Vehicles
Safety and Assurance Cases
Automating the Assembly of Security Assurance Case
Safety Case Maintenance: A Systematic Literature Review
Towards Certified Analysis of Software Product Line Safety Cases
Machine Learning Applications
Safety assurance of machine learning for chassis control functions
Safe Interaction of Automated Forklifts and Humans at Blind Corners in a Warehouse with Infrastructure Sensors
Machine Learning-based Fault Injection for Hazard Analysis and Risk Assessment
Safety Validation and Simulation
SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator - Experience Report
A Framework for Automated Quality Assurance and Documentation for Pharma 4.0
Fault Tolerance
A Modular Approach To Non-Deterministic Dynamic Fault Trees
Composition of Fault Forests.
Other Format:
Printed edition:
ISBN:
978-3-030-83903-1
9783030839031
Access Restriction:
Restricted for use by site license.

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