Journal
Scientific and technical journal «Priborostroenie»
UDK004.9
Issue:2 (67)
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ENTERPRISE TECHNICAL RISKS ASSOCIATED WITH DIGITAL TRANSFORMATION
Annotation
Digital transformation of enterprises is a mandatory stage of the transition to digital economy. The concept of “digital transformation” is analyzed. The fact of the emergence of new risks in the activities of enterprises due to a significant increase in their information connections are stated. The subject of the study is the technical risks of an enterprise in the process of its digital transformation. Three groups of risks are identified: unauthorized access/theft/distortion of information using local access means; vulnerability of network information transmission channels; unclear distribution of areas of responsibility. The features of each risk group are analyzed and measures to reduce their level for the enterprise are proposed.
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Articles in current issue
- FORMATION OF SETS OF FIVE-FOLD GOLD-TYPE SEQUENCES FOR DIGITAL INFORMATION TRANSMISSION SYSTEMS
- METHOD FOR CREATING AN INTEGRAL ASSESSMENT OF THE QUALITY OF DIFFICULT-TO-FORMALIZE OBJECT
- STATIONARY CHARACTERISTICS OF THE M/G/1/m QUEUING SYSTEM WITH REGARD TO SERVICE QUALITY CONTROL
- CONSTRUCTION, MODELING OF SIGNAL FORMATION AND PROCESSING FOR AIR PARAMETERS MEASURING SYSTEM WITH THE INTEGRATED FUSELAGE FLOW RECEIVER
- TOOLKIT FOR PRELIMINARY DESIGN AT THE STAGES OF DEVELOPING A CONTROL SYSTEM FOR A FLEXIBLE PRODUCTION AREA
- RESULTS OF EXPERIMENTAL PROCESSING OF PHASE MEASUREMENTS OF THE GLONASS SYSTEM USING A NON-BRUTE FORCE INTEGER AMBIGUITY RESOLUTION ALGORITHM FOR HIGH-PRECISION ABSOLUTE LOCATION
- INFLUENCE OF PRESSURE ON THE RESULTS OF MEASURING THE VOLUME FRACTIONS OF GAS COMPONENTS USING RAMAN SPECTROSCOPY
- PATTERNS OF MAGNETIC STRAY FIELD DISTRIBUTION ALONG THE SURFACE OF AN UNDERGROUND MAIN GAS PIPELINE AND AN ELASTICALLY BENT PIPE
- WAVE PROCESSES IN MEDIA WITH CYLINDRICAL SURFACES UNDER RIGID CONTACT
- FEATURES OF CONSTRUCTING A BOND GRAPH OF WALKING ROBOTS
- HYBRID NEURAL NETWORK MODELS FOR MONITORING TIME SERIES DATA OF COMPLEX OBJECTS