Method of processing of non-linear sequences to ensure information security in communication networks

The increasing demands for telecommunication systems for timeliness, reliability and security of transmission, storage and processing of information are caused by the complexity of the functional tasks assigned to these systems. The issues of providing noise immunity and security in the transmission of information are currently solved at the stage of transmitting the basic information, but at the stage of processing service and technology commands the loss of reliability is possible due to the impact of intentional disturbances. The method of information processing is proposed; its purpose is to provide noise immunity and information security of informational and communicational networks in the conditions of "informational war" by increasing the linear complexity of the used sequences while collecting service and technological information. The method is based on the use of non-linear recurrent sequences to form the service and technological information. The paper describes the process of formation of non-linear recurrent sequences that improve the secrecy and security of information transfer in the complex interference environment. The problem of optimal acceptance of the service and technology information is stated. The problem consists in the detection of the information perception by discretized samples and obtaining a current assessment of the sequence state vector. On the base of the obtained equations of the discretized samples it is possible to convert the presentation of logic operations with discrete values to their corresponding arithmetic operations with analog values. Based on the rules of quantization of the analog data and the rules of fixation of the correct perception of the service-technological information, the conclusion on the information conformity to the sent information is made if there is a coincidence of the state of the initial condition data and evaluation data for $n$ cycles of processing. The essence of the proposed method lies in the fact that the evaluation of the next item of information is made in the analog form, taking into account the predicted values generated on the basis of the recurrent properties of the pseudo-random sequence. The distinctive features of this method are refusal from pre-quantization of the signal, consideration of the recurrent properties of the sequences according to the prediction of the next elements of the signal and processing in the analog form with subsequent quantization.