Trustworthiness Model Representation
attributes that contribute to an overall trust measure . Hence it is essential to define a generic model to compute trust . The trustworthiness of a solution involves
● Computing a Trust Score for each component
● Computing an overall Trust Score that is a combination of the Trust Scores of each component involved in providing a solution .
The model used for computing a trust measure must be generic enough in order to provide a Trust Score for various applications . The IoT Policy Framework defined by EU commission calls for a similar hierarchical approach to establishing trust . 10
The attributes involved in computing the Trust Score of a component can be classified into two broad classes :
A . Quantitative attributes : Such parameters can be measured numerically . Examples include : a . Temperature values measured by a sensor . b . Date , time and size of a file installed on the system . c . A fingerprint – like a secured hash of a file installed on a system .
B . Qualitative attributes : Such characteristics are assigned a unique label from a set of valid labels ( i . e ., classification ). Typically , such attributes are assigned a string value like a label assigned to an object in an image observed by a camera . Examples could include : a . Vehicle type identification such as truck , forklift or unknown vehicle . A factory could use this kind of qualitative parameter to establish trust for delivery trucks . It would ensure that only authorized vehicle types are docked at the loading stations . b . Part type at an assembly work station . A factory could use this type of parameter to ensure that the correct components are used in an assembly operation . It ensures the trustworthiness and quality of the final product . c . Ingredient name / label at a mixing station . The food industry could use such an attribute to establish trust in the final product , providing for ingredient safety and product quality .
The attributes are further grouped into logical sets . As an example , in a manufacturing solution , the attributes of a component within a manufacturing solution can be grouped into the following logical sets :
● System hardware attributes
● System software attributes
● Application software attributes
● System access attributes
● System temperature attributes
● System vibration attributes
● System configuration attributes
● Observed pattern attributes
Each attribute can be assigned a different weight based on how it affects the overall
10
H2020 – CREATE-IoT Project , https :// european-iot-pilots . eu / wp-content / uploads / 2017 / 10 / D05 _ 01 _ WP05 _ H2020 _ CREATE- IoT _ Final . pdf , 2017 .
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