Abstract
The Logical Key Hierarchy (LKH) scheme and its derivatives are among the most efficient protocols for multicast key management. Traditionally, the key distribution tree in an LKH-based protocol is organized as a balanced binary tree, which gives a uniform O(log n) complexity for compromise recovery for an n-member group. In this paper, we study improving the performance of LKH-based key distribution protocols by organizing the LKH tree with respect to the members’ rekeying probabilities instead of keeping a uniform balanced tree. We propose two algorithms which combine ideas from data compression with the special requirements of multicast key management. Simulation results show that these algorithms can reduce the cost of multicast key management significantly, depending on the variation of rekey characteristics among group members.
This research was supported in part by the Department of Defense at the Maryland Center for Telecommunications Research, University of Maryland Baltimore County. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Department of Defense or the U.S. Government
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Aydin Selçuk, A., Sidhu, D. (2000). Probabilistic Methods in Multicast Key Management. In: Goos, G., Hartmanis, J., van Leeuwen, J., Pieprzyk, J., Seberry, J., Okamoto, E. (eds) Information Security. ISW 2000. Lecture Notes in Computer Science, vol 1975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44456-4_14
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DOI: https://doi.org/10.1007/3-540-44456-4_14
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