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Computer Safety, Reliability, and Security

Overview of attention for book
Cover of 'Computer Safety, Reliability, and Security'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Engineering of Runtime Safety Monitors for Cyber-Physical Systems with Digital Dependability Identities
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    Chapter 2 Systematic Evaluation of (Safety) Assurance Cases
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    Chapter 3 Just Enough Formality in Assurance Argument Structures
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    Chapter 4 Towards Recertification of Modular Updates in Integrated Maritime Systems of Systems
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    Chapter 5 A Functional Verification Methodology for Highly Parametrizable, Continuously Operating Safety-Critical FPGA Designs: Applied to the CERN RadiatiOn Monitoring Electronics (CROME)
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    Chapter 6 A Compositional Semantics for Repairable BDMPs
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    Chapter 7 Model-Based Safety Analysis of Mode Transitions
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    Chapter 8 Efficient Translation of Safety LTL to DFA Using Symbolic Automata Learning and Inductive Inference
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    Chapter 9 Automated Attacker Synthesis for Distributed Protocols
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    Chapter 10 An Attacker Modeling Framework for the Assessment of Cyber-Physical Systems Security
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    Chapter 11 Predicting Railway Signalling Commands Using Neural Networks for Anomaly Detection
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    Chapter 12 Automated Anomaly Detection in CPS Log Files
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    Chapter 13 Assuring the Safety of Machine Learning for Pedestrian Detection at Crossings
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    Chapter 14 Safety-Aware Hardening of 3D Object Detection Neural Network Systems
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    Chapter 15 Model-Centered Assurance for Autonomous Systems
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    Chapter 16 A Safety Framework for Critical Systems Utilising Deep Neural Networks
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    Chapter 16 A Safety Framework for Critical Systems Utilising Deep Neural Networks
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    Chapter 17 Assurance Argument Elements for Off-the-Shelf, Complex Computational Hardware
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    Chapter 18 Quantifying Assurance in Learning-Enabled Systems
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    Chapter 19 Cyber-Security of Neural Networks in Medical Devices
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    Chapter 20 FASTEN.Safe : A Model-Driven Engineering Tool to Experiment with Checkable Assurance Cases
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    Chapter 21 On Validating Attack Trees with Attack Effects
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    Chapter 22 Safety Meets Security: Using IEC 62443 for a Highly Automated Road Vehicle
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    Chapter 23 Threat Analysis Framework for Safety Architectures in SCDL
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    Chapter 24 Efficient Load-Time Diversity for an Embedded Real-Time Operating System
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    Chapter 25 Towards an Automated Exploration of Secure IoT/CPS Design-Variants
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    Chapter 26 Securing Electric Vehicle Charging Systems Through Component Binding
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    Chapter 27 Using Hardware-In-Loop-Based Fault Injection to Determine the Effects of Control Flow Errors in Industrial Control Programs
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    Chapter 28 On Configuring a Testbed for Dependability Experiments: Guidelines and Fault Injection Case Study
  31. Altmetric Badge
    Chapter 29 A Classification of Faults Covering the Human-Computer Interaction Loop
Attention for Chapter 16: A Safety Framework for Critical Systems Utilising Deep Neural Networks
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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Chapter title
A Safety Framework for Critical Systems Utilising Deep Neural Networks
Chapter number 16
Book title
Computer Safety, Reliability, and Security
Published in
arXiv, March 2020
DOI 10.48550/arxiv.2003.05311
Book ISBNs
978-3-03-054548-2, 978-3-03-054549-9
Authors

Xingyu Zhao, Alec Banks, James Sharp, Valentin Robu, David Flynn, Michael Fisher, Xiaowei Huang

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The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2020.
All research outputs
#5,303,330
of 25,387,668 outputs
Outputs from arXiv
#92,572
of 915,148 outputs
Outputs of similar age
#108,331
of 387,554 outputs
Outputs of similar age from arXiv
#3,285
of 21,770 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 387,554 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 21,770 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.