PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Simulation Model of Biometric Authentication Using Multiagent Approach

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this article authors present the concept of application of multiagent approach in modeling biometric authentication systems. After short introduction, we present a short primer to multiagent technology. Next, we depict current state of the art related to biometrics combined with multiagent approach. In the next part of the work we present four exemplary simulation models of biometric authentication environments as well as the results of their examination.
Słowa kluczowe
Rocznik
Tom
Strony
68--74
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
  • Institute of Economics and Informatics, Silesian University of Technology, Roosevelta st 26-28, 41-800 Zabrze, Poland, tomasz.owczarek@polsl.pl
Bibliografia
  • [1] S. Sanchez and T. Lucas, “Exploring the world of agent-based simulations: simple models, complex analyses”, in Proc. 2002 Winter Simulation Conf., San Diego, USA, 2002, pp. 116–126.
  • [2] H. V. D. Parunak, “Practical and industrial applications of agent-based systems”, Environmental Research Institute of Michigan, 1998.
  • [3] M. Wooldridge and N. R. Jennings, “Intelligent agents: theory and practice”, The Knowl. Engin. Rev., vol. 10, no. 2, pp. 115–152, 1995.
  • [4] S. Franklin and A. Graesser, “Is it an agent or just a program?: a taxonomy for autonomous agents”, Intelligent Agents III. Berlin: Springer, 1997, pp. 21–36.
  • [5] S. Russell and P. Norvig, Artificial Intelligence: Modern Approach. Prentice Hall, 2002.
  • [6] M. Wooldridge, An Introduction to MultiAgent Systems. Chichester: Wiley, 2002.
  • [7] C. Macal and M. North, “Tutorial on agent-based modeling and simulation. Part 2: How to model with agents”, in Proc. Winter Simul. Conf. WSC 2006, Monterey, USA, 2006, pp. 73–83, 2006.
  • [8] A. Rao and M. Georgeff, “BDI agents: from theory to practice”, in Proc. First Int. Conf. Multi-Agent Sys., San Francisco, USA, 1995, MIT Press, pp. 312–319.
  • [9] K. P. Sycara, “Multiagent Systems”, AI Mag., vol. 19, no. 2, Intelli- gent Agents Summer, pp. 79–93, 1998.
  • [10] C. Macal and M. North, Managing Business Complexity. Discovering Strategic Solutions with Agent-Based Modeling and Simulation. New York: Oxford University Press, 2007.
  • [11] M. Abreu and M. Fairhurst, “Analyzing the benefits of a novel multi-agent approach in a multimodal biometrics identification task”, IEEE Sys. J., vol. 3, no. 4, pp. 410–417, 2009.
  • [12] R. Meshulam, S. Reches, A. Yarden, and S. Kraus, “MLBPR: MAS for large-scale biometric pattern recognition”, Lect. Notes Comp. Sci. (including Lec. Notes Artif. Int., Lec. Notes Bioinf.), pp. 274–292, 2009.
  • [13] G. Ali, N. A. Shaikh, and Z. A. Shaikh, “Towards an automated multiagent system to monitor user activities against insider threat”, in Proc. IEEE – Int. Symp. Biometr. Secur. Technol. ISBAST’08, Islamabad, Pakistan, 2008.
  • [14] G. Chetty and D. Sharma, “Distributed face recognition: A multiagent approach”, Lect. Notes. Comp. Sci. (including Lect. Notes Artif. Int., Lect. Notes Bioinf.), pp. 1168–1175, 2006.
  • [15] A. Canuto, M. Abreu, A. Medeiros, F. Souza, M. F. Gomes, and V. Bezerra, “Investigating the use of an agent-based multi-classifier system for classification tasks”, in Proc. 11th Int. Conf. Neural Inform. Proces. ICONIP’04, Calcuta, India, Lect. Notes Comp. Sci., Heidelberg: Springer, 2004, pp. 854–859.
  • [16] L. Huette, A. Nosary, and T. Paquet, “A multiple agent architecture for handwritten text recognition”, Patt. Recogn., vol. 37, no. 4, pp. 665–674, 2004.
  • [17] U. Wilensky, NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL, 1999 [Online]. Available: http://ccl.northwestern.edu/netlogo/
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT8-0020-0019
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.