The paper concerns the validation of the selected issues related to the new ontology-based approach to the elaboration and management of evidences prepared by developers for the IT security evaluation process according to the Common Criteria standard. The evidences are implied by the claimed EAL (Evaluation Assurance Level) for a developed IT product or system, called TOE (Target of Evaluation). The evidences envisage the TOE features and its development environment. The validation and use of the author’s elaborated ontology are discussed, including: composing evidences for the given TOE and EAL, expressing details of evidences documents, issuing queries to get given information about model, etc. The paper also shows how the evidences are organized, developed and used. This work is aimed at the development of a prototype of a knowledge base, designed mainly for developers to allow them to compose and manage different kinds of evidences elaborated on the patterns basis. This knowledge base can be used by a software tool aiding developers who produce evaluation evidences.

The paper presents an approach based on the use of the fuzzy logic method as a tool for quick estimation of favorable parameters of hot plastic working of selected alloy and for the identification of those combinations of parameters that should be avoided. The idea and basic principles of operation of fuzzy controllers for the selection of thermo-mechanical parameters of hot metal forming were presented. The most important information necessary for a quick analysis based on knowledge engineering has been compiled. An example of the fuzzy controller using the information obtained based on plastometric test data and the results of observation of the microstructure state of deformed samples at various temperature and strain rate variants is presented. For the tested alloy, it was shown that the analysis of the parameters of their plastic processing using the fuzzy logic method, based on properly formulated expert knowledge, leads to obtaining satisfactory results. Thus, it was confirmed that fuzzy logic can be successfully used as a tool for quick estimation of correct or unfavorable thermal and mechanical combinations of hot forging processes.

The paper presents a new ontology-based approach to the elaboration and management of evidences prepared by developers for the IT security evaluation process according to the Common Criteria standard. The evidences concern the claimed EAL (Evaluation Assurance Level) for a developed IT product or system, called TOE (Target of Evaluation), and depend on the TOE features and its development environment. Evidences should be prepared for the broad range of IT products and systems requiring assurance. The selected issues concerning the author’s elaborated ontology are discussed, such as: ontology domain and scope definition, identification of terms within the domain, identification of the hierarchy of classes and their properties, creation of instances, and an ontology validation process. This work is aimed at the development of a prototype of a knowledge base representing patterns for evidences.