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Enriching Network Security Analysis with Time Travel Gregor Maier TU Berlin / DT Labs Robin Sommer ICSI / LBNL Holger Dreger Siemens AG Corporate Technology Anja Feldmann TU Berlin / DT Labs Vern Paxson ICSI / UC Berkeley Fabian Schneider TU Berlin / DT Labs ABSTRACT In many situations it can be enormously helpful to archive the raw contents of a network traf c stream to disk, to enable later inspection of activity that becomes interesting only in retrospect. We present a Time Machine (TM) for network traf c that provides such a capability. The TM leverages the heavy-tailed nature of network ‚ows to capture nearly all of the likely-interesting traf c while storing only a small fraction of the total volume. An initial proof-of-principle prototype established the forensic value of such an approach, contributing to the investigation of numerous attacks at a site with thousands of users. Based on these experiences, a rearchitected implementation of the system provides ‚exible, highperformance traf c stream capture, indexing and retrieval, including an interface between the TM and a real-time network intrusion detection system (NIDS). The NIDS controls the TM by dynamically adjusting recording parameters, instructing it to permanently store suspicious

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