Modeling Human Visual Discriminative Capability as a Defense Layer Against Cyber Physical Attacks

Cyber physical attacks are increasingly targeting manufacturing entities. Assessing system vulnerability helps in understanding the attacks. While cyber physical attacks can also manipulate quality inspection tools, human capabilities are valuable resources that cannot be targeted by a cyber physica...

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Bibliographic Details
Published inIISE Annual Conference. Proceedings pp. 1 - 6
Main Authors Aref, Enas, Wells, Lee J, Dastorian, Romina
Format Journal Article
LanguageEnglish
Published Norcross Institute of Industrial and Systems Engineers (IISE) 01.01.2020
Subjects
Brand loyalty
Case studies
Cybercrime
Experiments
Human subjects
Inspection
Just noticeable difference
Manufacturing
Modelling
Taxonomy
Visual discrimination
Workloads
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Summary:Cyber physical attacks are increasingly targeting manufacturing entities. Assessing system vulnerability helps in understanding the attacks. While cyber physical attacks can also manipulate quality inspection tools, human capabilities are valuable resources that cannot be targeted by a cyber physical attack. This research identified a threshold for visual discriminative capability in human subjects with JND of 0.5mm on an object of length 10mm. The dynamic motion of assembly tasks helped in preventing vigilance decline. A case study was conducted by inducing a cyber physical attack and modeling visual discriminative capability as a screening tool for produced parts and assemblies.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Conference Proceeding-1
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