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Knowledge about which nodes provide services is of critical importance fornetwork administrators. Discovery of service nodes can be done by making fulluse of duplicate element detection in flows. Because the amount of trafficacross network is massive, especially in large ISPs or campus networks, wepropose an approximate algorithm with Round-robin Buddy Bloom Filters(RBBF) forservice detection using NetFlow data solely. The properties and analysis ofRBBF data structure are also given. Our method has better time/space efficiencythan conventional algorithm with a small false positive rate.%portion of falsepositive. We also demonstrate the contributions through a prototype system byreal world case studies.

Approximate Discovery of Service Nodes by Duplicate Detection in Flows