Spam diagnosis infrastructure for individual cyberspace

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.