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Access to network traffic records is an integral part of recognizing andaddressing network security breaches. Even with the increasing sophisticationof network attacks, basic network events such as connections between two IPaddresses play an important role in any network defense. Given the duration ofcurrent attacks, long-term data archival is critical but typically very littleof the data is ever accessed. Previous work has provided tools and identifiedthe need to trace connections. However, traditional databases raise performanceconcerns as they are optimized for querying rather than ingestion.  The study of write-optimized data structures (WODS) is a new and growingfield that provides a novel approach to traditional storage structures (e.g.,B-trees). WODS trade minor degradations in query performance for significantgains in the ability to quickly insert more data elements, typically on theorder of 10 to 100 times more inserts per second. These efficient,out-of-memory data structures can play a critical role in enabling robust,long-term tracking of network events.  In this paper, we present TWIAD, the Write-optimized IP Address Database.TWIAD uses a write-optimized B-tree known as a B {\epsilon} tree to track allIP address connections in a network traffic stream. Our initial implementationfocuses on utilizing lower cost hardware, demonstrating that basic long-termtracking can be done without advanced equipment. We tested TWIAD on a modestdesktop system and showed a sustained ingestion rate of about 20,000 insertsper second.

Tracking Network Events with Write Optimized Data Structures: The Design and Implementation of TWIAD: The Write-Optimized IP Address Database