| CPC G06N 5/04 (2013.01) [G06F 11/0709 (2013.01); G06F 11/0793 (2013.01); G06N 20/00 (2019.01); H04L 41/0631 (2013.01); H04L 41/142 (2013.01); H04L 43/0811 (2013.01)] | 17 Claims |

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1. A computer-implemented method for providing quantified reliance data for a device in a plurality of electronic computing device nodes the method comprising:
instrumenting said device to generate at least two datasets comprising at least one device feature vector, each said feature vector being encoded in a form suitable for transmission over a connection in said network, said instrumenting comprising generating a device feature vector representing at least one device logical state selected from a software library state, a software usage statistical value, and a software error state;
performing computational inferencing over said at least two datasets to generate quantified reliance data comprising at least one of a trust indicator, a diagnostic indicator and a performance indicator associated with said device;
supplying said quantified reliance data in a form usable for selecting an action to be performed, wherein said supplying said quantified reliance data comprises signalling to a decision engine for a data source selection process, the decision engine operable to use said supplied quantified reliance data to select an action, said action being at least one of a shut down or a quarantine of said device; and
performing the selected action by and to said electronic computing device node in accordance with the decision engine selection.
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