Secure group communications using key graphs
Many emerging applications (eg, teleconference, real-time information services, pay per
view, distributed interactive simulation, and collaborative work) are based upon a group
communications model, ie, they require packet delivery from one or more authorized
senders to a very large number of authorized receivers. As a result, securing group
communications (ie, providing confidentiality, integrity, and authenticity of messages
delivered between group members) will become a critical networking issue. In this paper, we …
view, distributed interactive simulation, and collaborative work) are based upon a group
communications model, ie, they require packet delivery from one or more authorized
senders to a very large number of authorized receivers. As a result, securing group
communications (ie, providing confidentiality, integrity, and authenticity of messages
delivered between group members) will become a critical networking issue. In this paper, we …
Many emerging applications (e.g., teleconference, real-time information services, pay per view, distributed interactive simulation, and collaborative work) are based upon a group communications model, i.e., they require packet delivery from one or more authorized senders to a very large number of authorized receivers. As a result, securing group communications (i.e., providing confidentiality, integrity, and authenticity of messages delivered between group members) will become a critical networking issue.In this paper, we present a novel solution to the scalability problem of group/multicast key management. We formalize the notion of a secure group as a triple (U,K,R) where U denotes a set of users, K a set of keys held by the users, and R a user-key relation. We then introduce key graphs to specify secure groups. For a special class of key graphs, we present three strategies for securely distributing rekey messages after a join/leave, and specify protocols for joining and leaving a secure group. The rekeying strategies and join/leave protocols are implemented in a prototype group key server we have built. We present measurement results from experiments and discuss performance comparisons. We show that our group key management service, using any of the three rekeying strategies, is scalable to large groups with frequent joins and leaves. In particular, the average measured processing time per join/leave increases linearly with the logarithm of group size.
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