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Article title ADAPTIVE SELF-ORGANIZING ARTIFICIAL IMMUNE SYSTEM MODEL FOR A COMPUTER SECURITY PARTICULAR PURPOSE
Authors Yu.A. Bryukhomitsky
Section SECTION II. SECURITY OF INFORMATION SYSTEMS AND NETWORKS
Month, Year 12, 2013 @en
Index UDC 681.324
DOI
Abstract New approaches and principles of artificial immune system (AIS) building are considered, which differs from prior ones in that it reproduces the ability to adapt and self-organization that is appropriate to immune system of living organisms. There are new approaches to the property of double-plasticity modeling proposed, which based on the use of different mechanisms of detectors number formation and regulation. While the AIS operating, detectors are calibrated by the effectiveness of finding the "strangers". It also introduces a mechanism for regulating the balance of AIS capabilities to the discovery of new and previously encountered "strangers". At least, the AIS functioning get the properties of parametric and structural plasticity. The parametric plasticity is implemented on a pre-training stage and consists in selection of initial parameters for information processes representation and coding, realization of the templates creating procedure and creation of the primary set of detectors. The structural plasticity is implemented on the stage of active functioning in the "spirit of cooperation" by identifying and replacing the weakest elements by new ones, removing useless elements, filling the vacant niches, not occupied by the existing elements. Finally, in contrast to the well-known ones, AIS shows the complex functioning temper, inherent to living immune system: exogenous in protecting against external violators and endogenous in terms of ensuring of internal environment constancy and integrity and maintaining the mechanisms of internal communication.

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Keywords Artificial immune system; adaptation; self-organization; detection of "strange" information processes; parametric and structural plasticity properties.
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