Model to Formation Data Base of Secondary Parameters for Assessing Status of the State Secret Protection - volodymyr-sokolov/publications GitHub Wiki
Conference Paper
Yurii Dreis ,
Oleksandr Korchenko
,
Volodymyr Sokolov
,
Pavlo Skladannyi
Protection of classified information, especially state secrets, is an important task in the field of national and information security of the state. To minimize possible damage to the national security of Ukraine from violations in the field of state secret protection and to reduce the negative international rating and other serious consequences at the state level, the task of creating specialized databases, developing and improving existing methods and models that implement relevant assessments is urgent. That is why the theoretical-multiple presentation of the parameters of the "Report on the State of Protection of State Secrets"in tuple models allows solving the actual scientific and practical task of formalizing the process of assessing the negative consequences of leaking a state secret, its disclosure or loss of Material Carriers of Secret Information (MCSI), violation of the secrecy regime and state of ensuring the protection of country's secrets in general. Previously, a tuple model of primary and internal parameters was developed, and now, as its completion, a model of secondary parameters and its hierarchical structure has already been proposed, due to the integrated theoretic-multiple representation of sets characterizing information: the implementation or ordering (scientific and/or scientific and technical support) of secret research, development, design and other scientific works, manufacture of secret products, regime premises, objects of information activity, international cooperation, etc., allows to determine sets of input and output parameters for the formation of special databases and formalization of the process of damage assessment caused to national security by violations of state secret protection mechanisms. In the future, to implement the above-mentioned process, it is necessary to develop a method of assessing the state of protection of the country's secrets both separately for the subject of regime-secret activity (reporting entity) and for the organization (institution) to which the reporting entities are directly subordinated.
limited access information protection; parameter model; state secrets protection
Neural Network; Wireless Sensor Network; Quality of Service
2024 Cyber Security and Data Protection (CSDP)
30 June 2024 Lviv, Ukraine
First Online: 24 October 2024
-
ISSN: 1613-0073
-
EID: 2-s2.0-85208806879
-
DBLP: conf/csdp/DreisKSS24
-
KUBG: 49909
Dreis, Y., Korchenko, O., Sokolov, V., & Skladannyi, P. (2024). Model to Formation Data Base of Secondary Parameters for Assessing Status of the State Secret Protection. In Cyber Security and Data Protection (Vol. 3800, pp. 1โ11).
Y. Dreis, O. Korchenko, V. Sokolov, and P. Skladannyi, โModel to Formation Data Base of Secondary Parameters for Assessing Status of the State Secret Protection,โ Cyber Security and Data Protection, vol. 3800, pp. 1โ11, 2024.
Y. Dreis, et al., Model to Formation Data Base of Secondary Parameters for Assessing Status of the State Secret Protection, in: Cyber Security and Data Protection, vol. 3800 (2024) 1โ11.