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Volumn 539, Issue , 2015, Pages 197-206

Unsupervised network anomaly detection in real-time on big data

Author keywords

[No Author keywords available]

Indexed keywords

BIG DATA; DATABASE SYSTEMS; INFORMATION SYSTEMS; INTRUSION DETECTION; SIGNAL DETECTION;

EID: 84946064516     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-319-23201-0_22     Document Type: Conference Paper
Times cited : (11)

References (20)
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    • Apache spark - lightning-fast cluster computing. https://spark.apache.org/ (accessed April 29, 2015)
  • 2
    • 85015548900 scopus 로고    scopus 로고
    • Grid5000. https://www.grid5000.fr (accessed April 29, 2015)
  • 5
    • 84858698273 scopus 로고    scopus 로고
    • Unsupervised network intrusion detection systems: Detecting the unknown without knowledge
    • Casas, P., Mazel, J., Owezarski, P.: Unsupervised network intrusion detection systems: Detecting the unknown without knowledge. Computer Communications, 772–783 (2012)
    • (2012) Computer Communications , pp. 772-783
    • Casas, P.1    Mazel, J.2    Owezarski, P.3
  • 11
    • 84904497471 scopus 로고    scopus 로고
    • Hashdoop: A mapreduce framework for network anomaly detection
    • April
    • Fontugne, R., Mazel, J., Fukuda, K.: Hashdoop: a mapreduce framework for network anomaly detection. In: INFOCOM WKSHPS, pp. 494–499, April 2014
    • (2014) INFOCOM WKSHPS , pp. 494-499
    • Fontugne, R.1    Mazel, J.2    Fukuda, K.3
  • 12
    • 84883373251 scopus 로고    scopus 로고
    • A hough-transform-based anomaly detector with an adaptive time interval
    • Fontugne, R., Fukuda, K.: A hough-transform-based anomaly detector with an adaptive time interval. SIGAPP Appl. Comput. Rev., 41–51 (2011)
    • (2011) SIGAPP Appl. Comput. Rev. , pp. 41-51
    • Fontugne, R.1    Fukuda, K.2
  • 14
    • 79551647326 scopus 로고    scopus 로고
    • Evaluation of anomaly detection based on sketch and pca
    • IEEE
    • Kanda, Y., Fukuda, K., Sugawara, T.: Evaluation of anomaly detection based on sketch and pca. In: GLOBECOM 2010, pp. 1–5. IEEE (2010)
    • (2010) GLOBECOM 2010 , pp. 1-5
    • Kanda, Y.1    Fukuda, K.2    Sugawara, T.3
  • 15
    • 67149084291 scopus 로고    scopus 로고
    • Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering
    • Data
    • Kriegel, H.P., Kroger, P., Zimek, A.: Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering. ACM Trans. Knowl. Discov. Data (2009)
    • (2009) ACM Trans. Knowl. Discov
    • Kriegel, H.P.1    Kroger, P.2    Zimek, A.3
  • 16
  • 17
    • 34250315640 scopus 로고    scopus 로고
    • An overview of anomaly detection techniques: Existing solutions and latest technological trends
    • Patcha, A., Park, J.M.: An overview of anomaly detection techniques: Existing solutions and latest technological trends. Comput. Netw., 3448–3470 (2007)
    • (2007) Comput. Netw. , pp. 3448-3470
    • Patcha, A.1    Park, J.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.