Detection and measurement of information system risks through adaptive management diagnostic expert systems |
|---|
| Justinas Janulevicius, Lauryna Siaudinyte, Antanas Cenys, Nikolak Goranin |
- Abstract:
- Current growth of usage of lT systems in almost every field of industry causes rapid optimization of production and maintenance of goods and processes. Nevertheless, wider usage of automated lT systems has it's drawbacks as well: while most of the lT solutions fully exist in an online environment, certain risks for assets stored within the systems exist. Diagnosing and measuring damages, generated by harmful events can have a strong impact on further evolution of the owners, therefore it is very important to assess the possible risks and requiring much expertise and estimating every possible event and it's possibility. Since this process can easily be described as a complex decision-tree, a rule-based expert system can be facilitated to generate the needed expertise on risk assessment. The precision of risk measurement can be increased by using continuous reasoning instead of discrete. Fuzzy-logic based reasoning is proposed instead of Boolean. Possible IT risks vary depending on the technologies popular at given time, so this type of data is considered as sensitive. Therefore it must have a possibility to be updated at any time to provide the end-user with the most actual data. This leads to proposition of an adaptive hybrid fuzzy-logic and rule-based expert system for preventive early diagnostics of threats and measurement of risk of IT assets.
- Download:
- IMEKO-TC10-2013-003.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC10
- Event name:
- TC10 Workshop 2013
- Title:
12th IMEKO TC10 Workshop "New Perspectives in Measurements, Tools and Techniques for Industrial Applications"
- Place:
- Florence, ITALY
- Time:
- 06 June 2013 - 07 June 2013