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.
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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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