Degree Granting Department
Engineering Computer Science
Jay Ligatti, Ph.D.
Adriana Iamnitchi, Ph.D.
Ken Christensen, Ph.D.
: Network Algorithms, Security, Network Security, Computer Networks, Algorithms
This thesis presents an algorithm for classifying packets according to arbitrary (including noncontiguous) bitmask rules. As its principal novelty, the algorithm is parameterized by the amount of memory available and can customize its data structures to optimize classification time without exceeding the given memory bound. The algorithm thus automatically trades time for space efficiency as needed. The two extremes of this time-space tradeoff (linear search through the rules versus a single table that maps every possible packet to its class number) are special cases of the general algorithm we present. Additional features of the algorithm include its simplicity, its open-source prototype implementation, its good performance even with worstcase rule sets, and its extendability to handle range rules and dynamic updates to rule sets. The contributions of this thesis first appeared in .
Scholar Commons Citation
Kuhn, Joshua Adam, "Grouper: A Packet Classification Algorithm Allowing Time-Space Tradeoffs" (2011). Graduate Theses and Dissertations.