Novel approach to constructing static heuristic malware detection mechanism

To ensure the protection of information processed by computer systems is currently the most important task in the construction and operation of the automated systems. The paper presents the application justification of a new set of features distinguished at the stage of the static analysis of the executable files to address the problem of malicious code detection. In the course of study, following problems were solved: development of the executable files classifier in the absence of a priori data concerning their functionality; designing class models of uninfected files and malware during the learning process; development of malicious code detection procedure using the neural networks mathematical apparatus and decision tree composition relating to the set of features specified on the basis of the executable files static analysis. The paper also describes the functional model of malware detection system using the executable files static analysis. The conclusion contains the results of experimental evaluation of the developed detection mechanism efficiency on the basis of neural networks and decision tree composition. The obtained data confirmed the hypothesis about the possibility of constructing the heuristic malware analyzer on the basis of features distinguished during the static analysis of the executable files. However, the approach based on the decision tree composition enables to obtain a significantly lower false negative rate probability with the specified initial data and classifier parameter values relating to neural networks

Manufacture of sapphire ribbons with low dislocation density

Uniform thermal field with the axial temperature gradient of 11.6 K/cm was formed in a cylindrical heater. There were obtained 15x85x300 mm3 sapphire ribbons with dislocation density up to 103 cm-2. The dislocation density of sapphire ribbons at the axial temperature gradient of 11.6 K/cm was found to be comparable with the one in the crystals obtained by the Czochralski and Kyropoulos methods

The use of DART mass spectrometry for express confirmation of empirical formulas of heterocyclic compounds

The results of studying the possibility of using DART spectrometry with a time-of-flight mass analyzer to confirm the elemental composition of heterocyclic compounds are presented. The method makes it possible to rapidly determine the molecular weight and to calculate the empirical formula of organic synthesis product. © 2010 Springer Science+Business Media, Inc

The use of DART mass spectrometry for express confirmation of empirical formulas of heterocyclic compounds

The results of studying the possibility of using DART spectrometry with a time-of-flight mass analyzer to confirm the elemental composition of heterocyclic compounds are presented. The method makes it possible to rapidly determine the molecular weight and to calculate the empirical formula of organic synthesis product. © 2010 Springer Science+Business Media, Inc

Comparison of Quantitative Analytical Techniques for Dabigatran in Blood Plasma of Humans with Knee Replacements

Two different literature methods were used to compare the experimental efficacy and accuracy of dabigatran assays in blood of 30 patients with knee replacements. Blood plasma was collected from patients who underwent anticoagulant therapy and were administered the medicine at a dose of 220 mg. Residual and peak dabigatran concentrations were determined by HPLC-MS and HPLC-MS/MS. © 2019, Springer Science+Business Media, LLC, part of Springer Nature