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Computer Safety, Reliability, and Security: 39th International Conference, Safecomp 2020, Lisbon, Portugal, September 16-18, 2020, Proceedings

Computer Safety, Reliability, and Security: 39th International Conference, Safecomp 2020, Lisbon, Portugal, September 16-18, 2020, Proceedings (Paperback, 2020)

Pedro Ferreira, Antonio Casimiro, Frank Ortmeier, Friedemann Bitsch (엮은이)
  |  
Springer
2020-08-20
  |  
158,290원

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Computer Safety, Reliability, and Security: 39th International Conference, Safecomp 2020, Lisbon, Portugal, September 16-18, 2020, Proceedings

책 정보

· 제목 : Computer Safety, Reliability, and Security: 39th International Conference, Safecomp 2020, Lisbon, Portugal, September 16-18, 2020, Proceedings (Paperback, 2020) 
· 분류 : 외국도서 > 컴퓨터 > 네트워킹 > 일반
· ISBN : 9783030545482
· 쪽수 : 450쪽

목차

Safety Cases and Argumentation.- Synthesis of Runtime Safety Monitors for Cyber-Physical Systems with Digital Dependability Identities.- Systematic Evaluation of (Safety) Assurance Cases.- Just Enough Formality in Assurance Argument Structures.- Towards Recertification of Modular Updates in Integrated Maritime Systems of Systems.- Formal Verification and Analysis.- A functional verification methodology for highly configurable, continuously operating safety-critical FPGA designs: Applied to the CERN RadiatiOn Monitoring Electronics (CROME).- A Compositional Semantics for Repairable BDMPs.- Model-Based Safety Analysis of Mode Transitions.- Efficient Translation of Safety LTL to DFA using Symbolic Automata Learning and Inductive Inference.- Security Modelling and Methods.- Automated Attacker Synthesis for Distributed Protocols.- An Attacker Modeling Framework for the Assessment of Cyber-Physical Systems Security.- Predicting Railway Signalling Commands using Neural Networks for Anomaly Detection.- Automated Anomaly Detection in CPS Log Files - A Time Series Clustering Approach.- Assurance of Learning-enabled Systems.- Assuring the Safety of Machine Learning for Pedestrian Detection at Crossings.- Safety-Aware Hardening of 3D Object Detection Neural Network Systems.- Model-Centered Assurance for Autonomous Systems.- A Safety Framework for Critical Systems Utilising Deep Neural Networks.- Assurance Argument Elements for AI-Enabling Computational Hardware.- Quantifying Assurance in Learning-enabled Systems.- Practical Experience and Tools.- Cyber Security of Neural Networks in Medical Devices.- FASTEN.Safe: A Model-driven Engineering Tool to Experiment with Checkable Assurance Cases.- Threat Analysis and Risk Mitigation.- On Validating Attack Trees with Attack Effects.- Safety meets Security: Using ISA-62443 for a Highly Automated Road Vehicle.- Threat Analysis Framework for Safety Architectures in SCDL.- Cyber-Physical Systems Security.- Efficient Load-Time Diversity for an Embedded Real-Time Operating System.- Towards an Automated Exploration of Secure IoT/CPS Design-Variants.- Securing Electric Vehicle Charging Systems through Component Binding.- Fault Injection and Fault Tolerance.- Using Hardware-In-Loop-Based Fault Injection to Determine the Effects of Control Flow Errors in Industrial Control Programs.- On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study.- "A Classification of Faults Covering the Human-Computer Interaction Loop".

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