Developing Knowledge-Based Security-Sense of Networked Intelligent Robots

  • M. Omar Faruque Sarker
  • ChangHwan Kim
  • Bum-Jae You
  • Mohammed Golam Sadi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4251)


Distributed processing capabilities of robotic-applications using state-of-the-art component-based middleware and mobile-agent software technologies are continuously helping to develop more powerful intelligent robots. These application development frameworks provide several attractive conceptual solutions for network-based operations, however, these benefits cannot be realized unless the appropriate security mechanisms are in place. In this paper, this important issue is addressed in a systematic way: firstly, by analyzing the key limitations of traditional security models, the new security requirements for agent-based networked robots are pointed out and secondly, an effective defense mechanism is devised by constructing a knowledge-based security-aware robot control model. The main contributions of this work are, to address the security problem in a knowledge-based approach and to show the roles and mechanisms of the proposed security architecture. The feasibility of our approach is examined through a case study on development of robot security-sense using Linux-based reliable security-tools.


Intrusion Detection Fuzzy Inference System Security Policy Dynamic Security Network Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Brazier, F.M.T., Jonker, C.M., Treur, J.: Principles of Component-Based Design of Intelligent Agents,
  2. 2.
    Jansen, W., Karygiannis, T.: NIST Special Publication 800-19 Mobile Agent Security,
  3. 3.
    Yamada, S., Kamioka, E.: Access Control for Security and Privacy in Ubiquitous Computing Environments. IEICE Trans. Commun. E88-B(3) (March 2005)Google Scholar
  4. 4.
    Ramakrishnan, R., Srivastava, D., Sudarshan, S., Seshadri, P.: The CORAL deductive system. The VLDB Journal 3, 161–21 (1994)Google Scholar
  5. 5.
    Widenjus, M., Axmark, D.: MySQL Reference Manual, June 2002. O’Reilly & Associates Inc., Sebastopol (2002)Google Scholar
  6. 6.
    Botha, M., von Solms, R.: Utilizing Fuzzy Logic and Trend Analysis for Effective Intrusion Detection. Computers and Security 22(5), 423–434 (2003)CrossRefGoogle Scholar
  7. 7.
    Bridges, S.M., Vaughn, R.B.: Fuzzy Data Mining and Genetic Algorithms Applied to Intrusion Detection. In: Proc. 23rd National Information Systems Security Conference (NISSC), Baltimore, MD (October 2000)Google Scholar
  8. 8.
    Andreasson Oskar: Iptables Tutorial 1.2.0. Available Online:
  9. 9.
  10. 10.
  11. 11.

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • M. Omar Faruque Sarker
    • 1
  • ChangHwan Kim
    • 1
  • Bum-Jae You
    • 1
  • Mohammed Golam Sadi
    • 2
  1. 1.Intelligent Robotics Research CenterKorea Institute of Science and Technology(KIST)Cheongryang, SeoulKorea
  2. 2.Computer Engineering DepartmentHankuk Aviation UniversityKorea

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