Invention Grant
- Patent Title: Self-organizing software scan scheduling based on neural network cognitive classification
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Application No.: US15181448Application Date: 2016-06-14
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Publication No.: US10282699B2Publication Date: 2019-05-07
- Inventor: Krzysztof G. Fabjanski , Marek Peszt , Agnieszka Tkaczyk , Piotr J. Walczak
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Monchai Chuaychoo
- Main IPC: G06Q10/08
- IPC: G06Q10/08 ; G06N3/08 ; G06Q10/06

Abstract:
An approach for updating of a repetition frequency of a system scan operation. The approach calculates values of asset management factors based on results of the asset management factors from a current and a previously performed system scan operation. Groups of the computer systems are treated as node equivalents, and the asset management factors are treated as synapse equivalents of the node equivalents. The approach also feeds values of the factors and weighing values as input for determining an update value for the repetition frequency as output. The weighing value is adaptable via the learning capability of the neural network equivalent. Finally, the repetition frequency is updated using the update value by an activation function.
Public/Granted literature
- US20170357935A1 Self-Organizing Software Scan Scheduling Based on Neural Network Cognitive Classification Public/Granted day:2017-12-14
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