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Selecting Generators for Creating Real Valued Detectors in Ship Immune System

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The task of the ship immune system 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 makes use of a set of detectors. The detectors imitate signatures of non-self objects and they are generated at random. In order for the detectors to be able to effectively perform their task they have to be constructed in appropriate way. Since, random generators are used to form detectors the problem is to select a generator producing the most effective detectors. In order to select an appropriate generator, experiments were carried out. In the experiments, the task of the ship immune system was to differentiate self and non-self ship radio stations. Results of the experiments are presented at the end of the paper.
Słowa kluczowe
Rocznik
Tom
Strony
99--108
Opis fizyczny
Bibliogr. 8 poz., rys., tab.
Twórcy
autor
  • Polish Naval Academy
Bibliografia
  • [1] Balthrop J., Esponda F., Forrest S., Glickman M., Coverage and Generalization in Artificial Immune System in Proc. Genetic Evolutionary Computation Conf., 2002.
  • [2] 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.
  • [3] 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, 2004, 34(1), pp. 357–373.
  • [4] Forrest S., Hofmeyr S., Immunology as Information Processing, Design Principles for Immune Systems and Other Distributed Autonomous Systems, eds. Oxford Univ. Press, 2000, pp. 361–387.
  • [5] Hightower R., Forrest S., Perelson A., The Baldwin Effect in the Immune System: Learning by Somatic Hypermutation, R. K. Belew and M. Mitchell, editors, Individual Plasticity in Evolving Populations: Models and Algorithms, Addison — Wesley, 1996, pp. 159–167.
  • [6] Hofmeyr S., Forrest S., Somayaji A., Intrusion Detection using Sequences of System Calls, Scientific Literature Digital Library, http://citeseer.ist.psu.edu.
  • [7] Praczyk T., Adaptation of r-contiguous-bits scheme borrowed from immune systems to characteristic points of radar image identification, Theoretical and Applied Informatics, 2007, Vol. 19, pp. 37–56.
  • [8] Praczyk T., The concept of the ship immune system, Annual of Navigation, 2009, No. 15, pp. 101–107.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATA-0013-0010
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