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Volumn , Issue , 2014, Pages 1420-1428

LD-Sketch: A distributed sketching design for accurate and scalable anomaly detection in network data streams

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ERROR ANALYSIS;

EID: 84904437367     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFOCOM.2014.6848076     Document Type: Conference Paper
Times cited : (51)

References (22)
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  • 4
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    • Sketching streams through the net: Distributed approximate query tracking
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    • Methods for finding frequent items in data streams
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    • Cormode, G.1    Hadjieleftheriou, M.2
  • 8
    • 8344272783 scopus 로고    scopus 로고
    • What's new: Finding significant differences in network data streams
    • G. Cormode and S. Muthukrishnan. What's New: Finding Significant Differences in Network Data Streams. In Proc. of INFOCOM, 2004.
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    • X. Dimitropoulos, P. Hurley, and A. Kind. Probabilistic Lossy Counting: An Efficient Algorithm for Finding Heavy Hitters. SIGCOMM Comput. Commun. Rev., 38(1):5-5, Jan. 2008.
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    • New directions in traffic measurement and accounting: Focusing on the elephants, ignoring the mice
    • C. Estan and G. Varghese. New Directions in Traffic Measurement and Accounting: Focusing on the Elephants, Ignoring the Mice. TOCS, 21(3):270-313, 2003.
    • (2003) TOCS , vol.21 , Issue.3 , pp. 270-313
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.