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Volumn , Issue , 2011, Pages

Discrete Wavelet Transform and One-Class Support Vector Machines for anomaly detection in wireless sensor networks

Author keywords

anomaly detection; data compression; discrete wavelet transform; one class support vector machine; self organizing map; wireless sensor networks

Indexed keywords

ANOMALY DETECTION; DISCRETE WAVELETS; ONE-CLASS SUPPORT VECTOR MACHINE; SELF ORGANIZING; WIRELESS SENSOR;

EID: 84857284291     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISPACS.2011.6146181     Document Type: Conference Paper
Times cited : (12)

References (14)
  • 4
    • 84857335942 scopus 로고    scopus 로고
    • Anomaly detection in wireless sensor networks using self-organizing map and wavelets
    • Dec.
    • S. Siripanadom, W. Hattagam, and N. Teaumroong, "Anomaly Detection in Wireless Sensor Networks using Self-Organizing Map and Wavelets. " in The Int. Journal of Communications, Vol. 4, No. 3, Dec., 2010, pp. 74-83.
    • (2010) The Int. Journal of Communications , vol.4 , Issue.3 , pp. 74-83
    • Siripanadom, S.1    Hattagam, W.2    Teaumroong, N.3
  • 5
    • 77954024153 scopus 로고    scopus 로고
    • A model based on hybrid support vector machine and self-organizing map for anomaly detection
    • Apr 12-14
    • F. Wang, Y. Qian, Y. Dai, and Z. Wang, "A Model Based on Hybrid Support Vector Machine and Self-Organizing Map for Anomaly Detection," in Proc. 20iO Int. Corifon Communications and Mobile Computing (CMC),Vol. 1, Apr 12-14, 2010, pp. 97-101.
    • (2010) Proc. 20iO Int. Corifon Communications and Mobile Computing (CMC) , vol.1 , pp. 97-101
    • Wang, F.1    Qian, Y.2    Dai, Y.3    Wang, Z.4
  • 9
    • 77955684744 scopus 로고    scopus 로고
    • Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor network
    • Sep.
    • S. Rajasegarar, C. Leckie, lC. Bezdek, and M. Palaniswami, "Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Network," in Proc. iEEE Transactions on Information Forensics and Security, Vol. 5, No. 3, Sep. 2010, pp. 518-533.
    • (2010) Proc IEEE Transactions on Information Forensics and Security , vol.5 , Issue.3 , pp. 518-533
    • Rajasegarar, S.1    Leckie, C.2    Bezdek, C.3    Palaniswami, M.4
  • 10
    • 0942266514 scopus 로고    scopus 로고
    • Support vector data description
    • D. M. l Tax, and R. P. W. Duin, "Support vector data description," inMachine Learning, Vol. 54, No. 1, 2004, pp. 45-66.
    • (2004) Machine Learning , vol.54 , Issue.1 , pp. 45-66
    • Tax, D.M.L.1    Duin, R.P.W.2
  • 12
    • 34250663760 scopus 로고    scopus 로고
    • INTEL dataset. [Online]
    • The Intel Lab. (2004). INTEL dataset. [Online]. Available: http://berkeley.intel-research.netilabdataJ
    • (2004) The Intel Lab
  • 13
    • 84857266420 scopus 로고    scopus 로고
    • The SensorScope Lausanne Urban Canopy Experiment (LUCE) Project [Online]
    • The SensorScope Lausanne Urban Canopy Experiment (LUCE) Project. (2006). SENSORSCOPE dataset. [Online]. Available: http://sensorscope.eptl.ch/index. php/LUCE.
    • (2006) SENSORSCOPE Dataset
  • 14
    • 84857261805 scopus 로고    scopus 로고
    • NAMOSdata. [Online]
    • Network Aquatic Microbial Observing System. (2006). NAMOSdata. [Online]. Available: http://robotics.usc.edul-namos/dataJjr aug-06/
    • (2006) Network Aquatic Microbial Observing System


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.