An online outlier detection technique for wireless sensor networks using unsupervised quarter-sphere support vector machine

ISSNIP 2008 - Proceedings of the 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing

Volumn , Issue , 2008, Pages 151-156

  Zhang, Yang ^a   Meratnia, Nirvana ^a   Havinga, Paul ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALARM SYSTEMS; COMPUTATIONAL COMPLEXITY; ERRORS; IMAGE RETRIEVAL; INTELLIGENT CONTROL; RESEARCH LABORATORIES; SENSOR NETWORKS; SENSOR NODES; SMART SENSORS; SUPPORT VECTOR MACHINES; TELECOMMUNICATION NETWORKS;

ADJACENT NODES; COMMUNICATION OVERHEADS; ENVIRONMENTAL MONITORING; FALSE ALARM RATES; HIGH DETECTION RATES; KERNEL FUNCTIONS; MEMORY USAGES; OFFLINE; OUTLIER DETECTIONS; PARAMETER SELECTIONS; RESOURCE CONSUMPTION; SENSOR DATUM; SPATIAL CORRELATIONS; SPHERE SUPPORT VECTORS; SYNTHETIC AND REAL DATUM;

WIRELESS SENSOR NETWORKS;

EID: 63149149520     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSNIP.2008.4761978     Document Type: Conference Paper

References (14)

1. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, Wireless Sensor Networks: A Survey, Computer Networks, vol. 38, no. 4, pp. 393-422, March 2002.
2. A. Perrig, J. Stankovic, and D. Wagner, Security in Wireless Sensor Networks, CACM, vol. 47, no. 6, pp. 5357, 2004.
3. N. R. Prasad and M. Alam, Security Framework for Wireless Sensor Networks, Wireless Personal Communications, vol. 37, no. 3-4, 2006.
4. V. Chandola, A. Banerjee, and V. Kumar, Outlier Detection: A Survey, Technical Report, University of Minnesota, 2007.
5. S. Rajasegarar, C. Leckie, M. Palaniswami, and J. C. Bezdek, Quarter Sphere based Distributed Anomaly Detection in Wireless Sensor Networks, in IEEE International Conference on Communications, (Glasgow), pp. 3864-3869, June 2007.
6. Y. Zhang, N. Meratnia, and P. J. M. Havinga, Outlier Detection Techniques for Wireless Sensor Network: A Survey, Technical Report, University of Twente, 2008.
7. B. Scholkopf, J. C. Platt, J. C. Shawe-Taylor, A. J. Smola, and R. C. Williamson, Estimating the Support of a High-Dimensional Distribution, Neural Computation., vol. 13, no. 7, pp. 14431471, 2001.
8. D. M. J. Tax and R. P. W. Duin, Support Vector Data Description, Machine Learning, vol. 54, no. 1, pp. 4566, 2004.
9. P. Laskov, C. Schafer, and I. Kotenko, Intrusion Detection in Unlabeled Data with Quarter Sphere Support Vector Machines, in Detection of Intrusions and Malware & Vulnerability Assessment, (Dortmund), 2004.
10. P. Buonadonna, D. Gay, J. M. Hellerstein, W. Hong, and S. Madden, Task: Sensor Network in a Box, in proceeding of second european workshop on wireless sensor networks, pp. 133-144, 2005.
11. http://db.csail.mit.edu/labdata/labdata.html
12. B. Krishnamachari and S. Iyengar, Distributed Bayesian Algorithms for Fault-Tolerant Event Region Detection in Wireless Sensor Networks, IEEE Transactions on Computers, vol. 53, no. 3, pp. 241-250, 2004.
13. P. N. Tan, M. Steinback, and V. Kumar, Introduction to Data Mining, Addison Wesley, 2006.
14. S. G. Nash and A. Sofer, Linear and Nonlinear Programming. Mc-GrawHill, 1996.