INcreasing Security and Protection through Infrastructure REsilience: The INSPIRE Project

  • Salvatore D’Antonio
  • Luigi Romano
  • Abdelmajid Khelil
  • Neeraj Suri
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5508)


The INSPIRE project aims at enhancing the European potential in the field of security by ensuring the protection of critical information infrastructures through (a) the identification of their vulnerabilities and (b) the development of innovative techniques for securing networked process control systems. To increase the resilience of such systems INSPIRE will develop traffic engineering algorithms, diagnostic processes and self-reconfigurable architectures along with recovery techniques. Hence, the core idea of the INSPIRE project is to protect critical information infrastructures by appropriately configuring, managing, and securing the communication network which interconnects the distributed control systems. A working prototype will be implemented as a final demonstrator of selected scenarios. Controls/Communication Experts will support project partners in the validation and demonstration activities. INSPIRE will also contribute to standardization process in order to foster multi-operator interoperability and coordinated strategies for securing lifeline systems.


Overlay Network Critical Infrastructure Covert Channel Remote Terminal Unit Software Rejuvenation 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Seungtaek, O., et al.: Closed P2P system for PVR-based file sharing. IEEE Transactions on Consumer Electronics 51(3) (2005)Google Scholar
  2. 2.
    Keong, L., et al.: A survey and comparison of peer-to-peer overlay network schemes. IEEE Communications Surveys and Tutorials (2005)Google Scholar
  3. 3.
    Wallach, D.S.: A survey of peer-to-peer security issues. In: Okada, M., Pierce, B.C., Scedrov, A., Tokuda, H., Yonezawa, A. (eds.) ISSS 2002. LNCS, vol. 2609, pp. 42–57. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  4. 4.
    Liang, J., Naoumov, N., Ross, K.: The Index Poisoning Attack on P2P File-Sharing Systems. In: Proc. of INFOCOM 2006 (2006)Google Scholar
  5. 5.
    P2P or Peer-to-Peer Safety, Privacy and Security. Federal Trade Commission (2004),
  6. 6.
    Risson, J., Moors, T.: Survey of Research towards Robust Peer-to-Peer Networks: Search Methods. Technical Report UNSW-EE-P2P-1-1, University of New South Wales, Sydney (2004)Google Scholar
  7. 7.
    Mudhakar, S., Ling, L.: Vulnerabilities and security threats in structured overlay networks: A quantitative analysis. In: Proc. of the 20th Annual Computer Security Applications Conference (ACSAC) (2004)Google Scholar
  8. 8.
    Honghao, W., Yingwu, Z., Yiming, H.: An efficient and secure peer-to-peer overlay network. In: Proc. of the IEEE Conference on Local Computer Networks (2005)Google Scholar
  9. 9.
    Friedman, A., Camp, J.: Peer-to-Peer Security, Harvard University (2003),
  10. 10.
    Duma, C., Shahmehri, N., Turcan, E.: Resilient Trust for Peer-to-Peer Based Critical Information Infrastructures. In: Proceedings of 2nd International Conference on Critical Infrastructures (CRIS) (2004)Google Scholar
  11. 11.
    Mongardi, G.: Dependable Computing for Railway Control Systems. In: Proceedings of DCCA-3, Mondello, Italy, pp. 255–277 (1993)Google Scholar
  12. 12.
    Bondavalli, A., Chiaradonna, S., Di Giandomenico, F., Grandoni, F.: Threshold-Based Mechanisms to Discriminate Transient from Intermittent Faults. IEEE Transactions on Computers 49, 230–245 (2000)CrossRefGoogle Scholar
  13. 13.
    Mirkovic, J., Martin, J., Reiher, P.: A Taxonomy of DDoS Attacks and DDoS Defense Mechanisms. UCLA Computer Science Department, Technical report N.020018Google Scholar
  14. 14.
    Kocher, P.C.: Timing Attacks on Implementations of Diffie-Hellman, RSA, DSS, and Other Systems. In: Koblitz, N. (ed.) CRYPTO 1996. LNCS, vol. 1109, pp. 104–113. Springer, Heidelberg (1996)Google Scholar
  15. 15.
    Goswami, K.K., Iyer, R.K.: Simulation of Software Behavior Under Hardware Faults. In: Proceedings of the 23rd Annual International Symposium on Fault-Tolerant Computing (1993)Google Scholar
  16. 16.
    Iyer, R.K., Tang, D.: Experimental Analysis of Computer System Fault Tolerance. In: Pradhan, D.K. (ed.) Fault-Tolerant Computer System Design, ch. 5. Prentice Hall Inc., Englewood Cliffs (1996)Google Scholar
  17. 17.
    Cassidy, K.J., Gross, K.C., Malekpour, A.: Advanced Pattern Recognition for Detection of Complex Software Aging Phenomena in Online Transaction Processing Servers. In: Proceedings of International Conference on Dependable Systems and Networks (2002)Google Scholar
  18. 18.
    Huang, Y., Kintala, C.M.R., Kolettis, N., Fulton, N.D.: Software Rejuvenation: Analysis, Module and Applications. In: FTCS 1995, pp. 381–390 (1995)Google Scholar
  19. 19.
    Campanile, F., Cilardo, A., Coppolino, L., Romano, L.: Adaptable Parsing of Real-Time Data Streams. In: Proceedings of 15th Euromicro International Conference on Parallel, Distributed, and Network-based Processing (PDP 2007) (February 2007)Google Scholar
  20. 20.
    Borealis Distributed Stream Processing Engine,
  21. 21.
    Serafini, M., Bondavalli, A., Suri, N.: On-Line Diagnosis and Recovery: On the Choice and Impact of Tuning Parameters. IEEE Transactions on Dependable and Secure Computing (October 2007)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Salvatore D’Antonio
    • 1
  • Luigi Romano
    • 2
  • Abdelmajid Khelil
    • 3
  • Neeraj Suri
    • 3
  1. 1.Consorzio Interuniversitario Nazionale per l’InformaticaItaly
  2. 2.Dipartimento per le TecnologieUniversity of Napoli ParthenopeItaly
  3. 3.Department of Computer ScienceTU DarmstadtGermany

Personalised recommendations