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Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data.

, , , , and . DSN, page 45-56. IEEE Computer Society, (2015)

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Detection of Early-Stage Enterprise Infection by Mining Large-Scale Log Data., , , , and . DSN, page 45-56. IEEE Computer Society, (2015)Fast and versatile algorithm for nearest neighbor search based on a lower bound tree., , , and . Pattern Recognition, 40 (2): 360-375 (2007)Sherlock Holmes and the Case of the Advanced Persistent Threat., and . LEET, USENIX Association, (2012)Understanding Domain Registration Abuses., , , , and . SEC, volume 330 of IFIP Advances in Information and Communication Technology, page 68-79. Springer, (2010)Beehive: large-scale log analysis for detecting suspicious activity in enterprise networks., , , , , , and . ACSAC, page 199-208. ACM, (2013)Browser Fingerprinting from Coarse Traffic Summaries: Techniques and Implications., , , and . DIMVA, volume 5587 of Lecture Notes in Computer Science, page 157-175. Springer, (2009)Understanding domain registration abuses., , , , and . Computers & Security, 31 (7): 806-815 (2012)Are Your Hosts Trading or Plotting? Telling P2P File-Sharing and Bots Apart., and . ICDCS, page 241-252. IEEE Computer Society, (2010)Traffic Aggregation for Malware Detection., and . DIMVA, volume 5137 of Lecture Notes in Computer Science, page 207-227. Springer, (2008)An Epidemiological Study of Malware Encounters in a Large Enterprise., , , , and . ACM Conference on Computer and Communications Security, page 1117-1130. ACM, (2014)