Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops

DECSoS, MAPSOD, DepDevOps, USDAI, and WAISE, York, UK, September 7, 2021, Proceedings

AvIbrahim Habli,Mark Sujan

Häftad, Engelska, 2021

Del 12853 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the proceedings of the Workshops held in conjunction with SAFECOMP 2021, the 40th International Conference on Computer Safety, Reliability and Security, which took place in York, UK, in September 2021.The 26 regular papers included in this volume were carefully reviewed and selected from 34 submissions. The workshops included in this volume are:DECSoS 2021: 16th Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-SystemsWAISE 2021: Fourth International Workshop on Artificial Intelligence Safety EngineeringDepDevOps 2021: Second International Workshop on Dependable Development-Operation Continuum Methods for Dependable Cyber-Physical SystemsUSDAI 2021: Second International Workshop on Underpinnings for Safe Distributed AI MAPSOD 2021: First International Workshop on Multi-concern Assurance Practices in Software Design

Produktinformation

Utgivningsdatum:2021-08-07
Mått:155 x 235 x 19 mm
Vikt:517 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:324
Förlag:Springer Nature Switzerland AG
ISBN:9783030839055

Utforska kategorier

Programvaruutveckling inom Data och IT
Nätverk och kommunikation inom Data och IT
Hårdvara inom Data och IT

Innehållsförteckning

16th International Workshop on Dependable Smart Cyber-Physical Systems and Systems-of-Systems (DECSoS 2021).- Dependable Integration Concepts for Human-Centric AI-based Systems.- Rule-Based Threat Analysis and Mitigation for the Automotive Domain.- Guideline for Architectural Safety, Security and Privacy Implementations Using Design Patterns: SECREDAS Approach.- Structured Traceability of Security and Privacy Principles for Designing Safe Automated Systems.- Synchronisation of an Automotive Multi-Concern Development Process.- Offline Access to a Vehicle via PKI-based Authentication.- HEIFU - Hexa Exterior Intelligent Flying Unit.- Testing for IT Security: a Guided Search Pattern for Exploitable Vulnerability Classes.- Formal Modelling of the Impact of Cyber Attacks on Railway Safety.- LoRaWAN with HSM as a Security Improvement for Agriculture Applications – Evaluation.- 2nd International Workshop on Dependable Development-Operation Continuum Methods for Dependable Cyber-Physical System (DepDevOps 2021).- Towards Continuous Safety Assessment in Context of DevOps.- The Digital Twin as a Common Knowledge Base in DevOps to Support Continuous System Evolution.- 1st International Workshop on Multi-concern Assurance Practices in Software Design (MAPSOD 2021).- An Accountability Approach to Resolve Multi-stakeholder Conflicts.- Architecture-Supported Audit Processor: Interactive, Query-Driven Assurance.- Towards Assurance-Driven Architectural Decomposition of Software Systems.- 2nd International Workshop on Underpinnings for Safe Distributed Artificial Intelligence (USDAI 2021).- Integration of a RTT Prediction into a Multi-path Communication Gateway.- 4th International Workshop on Artificial Intelligence Safety Engineering (WAISE 2021).- Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty.- No Free Lunch: Overcoming Reward Gaming in AI Safety Gridworlds.- Effect of Label Noise on Robustness of Deep Neural Network Object Detectors.- Human-in-the-Loop Learning Methods Toward Safe DL-based Autonomous Systems: A Review.- An Integrated Approach to a Safety Argumentation for AI-based Perception Functions in Automated Driving.- Experimental Evaluation on Conformance of UBER ATG Safety Case Framework to ANSI/UL 4600.- Learning From AV Safety: Hope and Humility Shape Policy and Progress.- Levels of Autonomy & Safety Assurance for AI-based Clinical Decision Systems.- Certification Game for the Safety Analysis of AI-based CPS.- A New Approach to Better Consensus Building and Agreement Implementation for Trustworthy AI Systems.I