TY - JOUR N2 - The article herein presents the method and algorithms for forming the feature space for the base of intellectualized system knowledge for the support system in the cyber threats and anomalies tasks. The system being elaborated might be used both autonomously by cyber threat services analysts and jointly with information protection complex systems. It is shown, that advised algorithms allow supplementing dynamically the knowledge base upon appearing the new threats, which permits to cut the time of their recognition and analysis, in particular, for cases of hard-to-explain features and reduce the false responses in threat recognizing systems, anomalies and attacks at informatization objects. It is stated herein, that collectively with the outcomes of previous authors investigations, the offered algorithms of forming the feature space for identifying cyber threats within decisions making support system are more effective. It is reached at the expense of the fact, that, comparing to existing decisions, the described decisions in the article, allow separate considering the task of threat recognition in the frame of the known classes, and if necessary supplementing feature space for the new threat types. It is demonstrated, that new threats features often initially are not identified within the frame of existing base of threat classes knowledge in the decision support system. As well the methods and advised algorithms allow fulfilling the time-efficient cyber threats classification for a definite informatization object. L1 - http://journals.pan.pl/Content/113315/PDF/73.pdf L2 - http://journals.pan.pl/Content/113315 PY - 2019 IS - No 4 EP - 550 DO - 10.24425/ijet.2019.129811 KW - decision support system KW - cyber threat KW - intellectualized system KW - detecting the cyber threats KW - critically needed computer systems A1 - Kartbayev, Timur A1 - Akhmetov, Bakhytzhan A1 - Doszhanova, Aliya A1 - Lakhno, Valery A1 - Malikova, Feruza A1 - Tolybayev, Sharapatdin PB - Polish Academy of Sciences Committee of Electronics and Telecommunications VL - vol. 65 DA - 2019.11.03 T1 - Development of decision support system based on feature matrix for cyber threat assessment SP - 545 UR - http://journals.pan.pl/dlibra/publication/edition/113315 T2 - International Journal of Electronics and Telecommunications ER -