Abstract
Aiming at the fact that the network deception technology needs manual work and can’t ensure deception efficiency and accuracy, an automatic deception system with autonomic intrusion tolerance based on autonomic computing is proposed. The theory model of the system is researched and the formal description is denoted which includes service transplant module and decoy subnet module. Service transplant module completes the retargeting of suspicious information and recovering of legal access, implementing the security isolation for object system and inputting deception targets to decoy subnet. Trapping subnet realizes automatic deception, feature analysis and autonomic associative study on attack information. The simulation results show the service availability, even response time, average delay, even transmission speed and resource efficiency of the servers with automatic deception are much better than those of servers without automatic deception.
This paper is supported by The National High Technology Research and Development Program of China (863) (2007AA01Z401), The National Natural Science Foundation of China (90718003).
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Li, B., Wang, H., Feng, G. (2009). Experiment Research of Automatic Deception Model Based on Autonomic Computing. In: Park, J.H., Zhan, J., Lee, C., Wang, G., Kim, Th., Yeo, SS. (eds) Advances in Information Security and Its Application. ISA 2009. Communications in Computer and Information Science, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02633-1_13
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DOI: https://doi.org/10.1007/978-3-642-02633-1_13
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