A METHOD OF FORMING OF ANTI-VIRUS PROTECTION OF DATA IS WITH THE USE OF SAFE ROUTING OF METADATAS

In this article the method of anti-virus protection of data is worked out in TCS due to the safe routing of metadatas in anti-virus nephystems. He is intended for the decision of range of problems, that consists in that with the aim of increase of efficiency of the use of facilities of anti-virus protection of data and minimization of consequences of similar cyberbuck of crimes, a timely exposure and localization of computer viruses are an extremely important and at the same time difficult task. By the basic constituents of method, that is offered in this work, is, : algorithms of forming of great number of TPS of metadatas, method of control of flow of ТCS, model of the system of neural network experts of the safe routing lines. The distinguishing feature of algorithms of forming of great number of TPS of metadatas are indexes of optimization and limitations that is entered, for the safe routing. The novelty of method of control of flow of ТCS lines consists in the account of the "compromised" bats of these special signatures that is passed in anti-virus nephystems. It will allow to bring down probability of manipulations metadatas that is passed in the knots of programmatic server. The feature of the worked out system of neural network experts is a complexity of the use of neural networks as АRТ and multi-layered to perceptron for the decision of task of the safe routing that will allow to promote exactness of acceptance of correct decision about an unauthorized division to the fiber-optic lines