The concept of the ship immune system

• Autorzy: Praczyk T.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the concept of the ship immune system. The task of the system mentioned is to differentiate self objects, i.e. objects that are not dangerous to our ship, from other objects that can be a potential threat. To perform the task the system uses mechanisms adapted from artificial immune systems. Since, the traditional model of artificial immune system assumes objects represented in the form of binary strings, in the paper modifications to this model are proposed. The modifications mentioned either makes it possible to represent objects in the form of real valued vectors or transform real valued representations to simpler binary or integer ones.

Słowa kluczowe

EN

immune system; differentiate self objects

PL

systemy odporne; rozróżnianie obiektów bezpiecznych

• Wydawca: Polskie Forum Nawigacyjne
• Czasopismo: Annual of Navigation
• Rocznik: 2009
• Tom: No. 15
• Strony: 101--107
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Praczyk T.

• Polish Naval Academy

Bibliografia

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• [3] D’haeseleer P., Forrest S., Helman P. An Immunological Approach to Change Detection: Algorithms, Analysis and Implications, Scientific Literature Digital Library - http://citeseer.ist.psu.edu
• [4] Esponda F., Forrest S., Helman P. A Formal Framework for Positive and Negative Detection Schemes. IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics, 34(1), pp. 357-373, 2004.
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• [6] Hightower R., Forrest S., Perelson A. The Baldwin Effect in the Immune System: Learning by Somatic Hypermutation. In R. K. Belew and M. Mitchell, editors, Individual Plasticity in Evolving Populations: Models and Algorithms. Addison-Wesley, pp. 159-167, 1996.
• [7] Hofmeyr S., Forrest S., Somayaji A. Intrusion Detection using Sequences of System Calls, Scientific Literature Digital Library - http://citeseer.ist.psu.edu
• [8] Holland J. H. Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor, Michigan. 1975.
• [9] Forrest S., Hofmeyr S. Immunology as Information Processing, Design Principles for Immune Systems and Other Distributed Autonomous Systems, eds. Oxford Univ. Press, pp. 361-387, 2000
• [10] Praczyk T., Detection of self navigational aids on radar image using ideas from immune systems, Archives of Control Science, Volume 17(LIII), No. 3, pages 241-259, 2007
• [11] Praczyk T., Adaptation of r-contiguous-bits scheme borrowed from immune systems to characteristic points of radar image identification, Theoretical and Applied Informatics, vol. 19(2007), pp. 37-56, 2007