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Volumn , Issue , 2010, Pages

Tracking long duration flows in network traffic

Author keywords

[No Author keywords available]

Indexed keywords

BLOOM FILTERS; DATA STREAMING; FALSE NEGATIVES; FALSE POSITIVE; IN-NETWORK; LONG DURATION; NETWORK MEASUREMENT; REAL NETWORKS; TIME DURATION; TRACKING ALGORITHM; TRAFFIC VOLUMES;

EID: 77953314924     PISSN: 0743166X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/INFCOM.2010.5462244     Document Type: Conference Paper
Times cited : (39)

References (10)
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    • A. Chakrabarti, G. Cormode, and A. McGregor. A near-optimal algorithm for computing the entropy of a stream. In SODA, 2007.
    • (2007) SODA
    • Chakrabarti, A.1    Cormode, G.2    McGregor, A.3
  • 2
    • 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. IEEE Infocom, pages 1534-1545, 2004.
    • (2004) Proc. IEEE Infocom , pp. 1534-1545
    • Cormode, G.1    Muthukrishnan, S.2
  • 4
    • 85084096724 scopus 로고    scopus 로고
    • The heisenbot uncertainty problem: Challenges in separating bots from chaff
    • C. Kanich, K. Levchenko, B. Enright, G. M. Voelker, and S. Savage. The heisenbot uncertainty problem: challenges in separating bots from chaff. In LEET'08, 2008.
    • (2008) LEET'08
    • Kanich, C.1    Levchenko, K.2    Enright, B.3    Voelker, G.M.4    Savage, S.5
  • 5
    • 8344259982 scopus 로고    scopus 로고
    • Data streaming algorithms for efficient and accurate estimation of flow size distribution
    • A. Kumar, M. Sung, J. J. Xu, and J. Wang. Data streaming algorithms for efficient and accurate estimation of flow size distribution. In ACM SIGMETRICS/Performance, pages 177-188, 2004.
    • (2004) ACM SIGMETRICS/Performance , pp. 177-188
    • Kumar, A.1    Sung, M.2    Xu, J.J.3    Wang, J.4
  • 6
    • 33847290520 scopus 로고    scopus 로고
    • Mining anomalies using traffic feature distributions
    • A. Lakhina, M. Crovella, and C. Diot. Mining anomalies using traffic feature distributions. SIGCOMM Comput. Commun. Rev., 35(4):217-228, 2005.
    • (2005) SIGCOMM Comput. Commun. Rev. , vol.35 , Issue.4 , pp. 217-228
    • Lakhina, A.1    Crovella, M.2    Diot, C.3
  • 8
    • 57349116869 scopus 로고    scopus 로고
    • Counter braids: A novel counter architecture for per-flow measurement
    • Y. Lu, A. Montanari, B. Prabhakar, S. Dharmapurikar, and A. Kabbani. Counter braids: a novel counter architecture for per-flow measurement. In SIGMETRICS, pages 121-132, 2008.
    • (2008) SIGMETRICS , pp. 121-132
    • Lu, Y.1    Montanari, A.2    Prabhakar, B.3    Dharmapurikar, S.4    Kabbani, A.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.