Computer Safety, Reliability, and Security. SAFECOMP 2023 Workshops: ASSURE, DECSoS, SASSUR, SENSEI, SRToITS, and WAISE, Toulouse, France, September 19, 2023, Proceedings: Lecture Notes in Computer Science, cartea 14182
Editat de Jérémie Guiochet, Stefano Tonetta, Erwin Schoitsch, Matthieu Roy, Friedemann Bitschen Limba Engleză Paperback – 14 sep 2023
The 35 full papers included in this volume were carefully reviewed and selected from 49 submissions.
- 8th International Workshop on Assurance Cases for Software-intensive Systems (ASSURE 2023)
- 18th International Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems (DECSoS 2023)
- 10th International Workshop on Next Generation of System Assurance Approaches for Critical Systems (SASSUR 2023)
- Second International Workshop on Security and Safety Interactions (SENSEI 2023)
- First International Workshop on Safety/ Reliability/ Trustworthiness of Intelligent Transportation Systems (SRToITS 2023)
- 6th International Workshop on Artificial Intelligence Safety Engineering (WAISE 2023)
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Specificații
ISBN-13: 9783031409523
ISBN-10: 3031409523
Ilustrații: XVI, 438 p. 181 illus., 118 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.64 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031409523
Ilustrații: XVI, 438 p. 181 illus., 118 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.64 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Using Assurance Cases to Prevent Malicious Behaviour from Targeting Safety Vulnerabilities.- Constructing Security Cases Based on Formal Verification of Security Requirements in Alloy.-Assurance Cases for Timing Properties of Automotive TSN Networks.- Toward Dependability Assurance Framework for Automated Driving Systems.- A Quantitative Approach for System of Systems’ Resilience Analyzing Based on Archimate.- Towards DO-178C Compliance of a Secure Product.- The Need for Threat Modelling in Unmanned Aerial Systems.- Using Runtime information of controllers for safe adaptation at runtime: a Process Mining approach.- Safety and Robustness for Deep Neural Networks: An Automotive Use Case.- Towards Dependable Integration Concepts for AI-based Systems.- A Methodology for the Qualification of Operating Systems and Hypervisors for the deployment in IoT devices.- Computer-Aided Generation of Assurance Cases.- RACK: A Semantic Model and Triplestore for Curation of Assurance Case Evidence.- Patterns for Integrating NIST 800-53 Controls into Security Assurance Cases.- Analyzing Origins of Safety and Security Interactions using Feared Events Trees and Multi-level Model.- Utilising Redundancy to Enhance Security of Safety-Critical Systems.- Reliability Evaluation of Autonomous Transportation System Architecture Based on Markov Chain.- Uncertainty Quantification for Semantic Segmentation Models via Evidential Reasoning.- Research on the Reliability of High-Speed Railway Dispatching and Commanding Personnel with Multi Physiological Signals.- Research on Brain Load prediction based on machine learning for High-speed Railway.- Paired Safety Rule Structure for Human-machine Cooperation with Feature Update and Evolution.- Towards an Effective Generation of Functional Scenarios for AVs to Guide Sampling.- Rear-end Collision Risk Analysis for Autonomous Driving.- Improving road traffic safety and performance – barriers and directions towards cooperative automated vehicles.- A Group-Level Learning Approach Using Logistic Regression for Fairer Decisions.- Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning.- AIMOS: Metamorphic Testing of AI - An Industrial Application.- AERoS: Assurance of Emergent Behaviour in Autonomous Robotic Swarms.- A Reasonable Driver Standard for Automated Vehicle Safety.- Structuring Research Related to Dynamic Risk Management for Autonomous Systems.- Towards Safe Machine Learning Lifecycles with ESG Model Cards.- Towards Deep Anomaly Detection with Structured Knowledge Representations.- Evaluating and Increasing Segmentation Robustness in CARLA.- Safety Integrity Levels for Artificial Intelligence.- Can Large Language Models assist in Hazard Analysis.- Contextualised Out-of-Distribution Detection using Pattern Identification.