Spam diagnosis infrastructure for individual cyberspace

Abstract

The theory, methods and the architecture of parallel information's analysis is presented by the form of analytical, graph and table forms of associative relations for the search, recognition, diagnosis of destructive components and the decision making in n-dimensional vector cybernetic individual space. Vector -logical processes-models of actual oriented tasks are considered. They include the diagnostic of spam and the recovery of serviceability, the hardware-software components of computer systems and the decision quality is estimated by the interactions of non-arithmetic metrics of Boolean vectors. The concept of self-development information of computer ecosystem is offered. It repeats the evolution of the functionality of the person. Original processes-models of associative-logical information analysis are represented on the basis of high-speed multiprocessor in n-dimensional vector discrete space.