What is it about?
The obtained results can be applied in forecasting losses in information and telecom-munication systems and networks from the penetration of computer viruses into it and conducting computer attacks.
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Why is it important?
The paper investigates the Markov G-network with signals and revenues in the case when the signal can destroy a group of positive customers. For such a network, the expected revenues in the network systems were found using the method of successive approximations, combined with the method of series.
Perspectives
Further research in this direction may be associated with finding of variances of revenues of network systems.
Mikhail Matalytski
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This page is a summary of: FINDING EXPECTED REVENUES IN G-NETWORK WITH SIGNALS AND CUSTOMERS BATCH REMOVAL, Probability in the Engineering and Informational Sciences, September 2017, Cambridge University Press,
DOI: 10.1017/s0269964817000274.
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