A machine learning approach for identifying and classifying faults in wireless sensor networks

Proceedings - 15th IEEE International Conference on Computational Science and Engineering, CSE 2012 and 10th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, EUC 2012

Volumn , Issue , 2012, Pages 618-625

  Warriach, Ehsan Ullah ^a   Aiello, Marco ^a   Tei, Kenji ^b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION OF DATA; ENVIRONMENTAL INTERFERENCE; EXTERNAL INFLUENCES; HIDDEN MARKOV MODELS (HMMS); LIVING LAB; MACHINE LEARNING APPROACHES; RECOVERY ACTIONS; SENSOR MEASUREMENTS; SENSORY DATA; STATISTICAL APPROACH; SYSTEM FAULTS;

DYNAMICS; HIDDEN MARKOV MODELS; SENSORS; UBIQUITOUS COMPUTING;

WIRELESS SENSOR NETWORKS;

EID: 84874094695     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSE.2012.90     Document Type: Conference Paper

References (9)

1. S. Jha, K. Tan, and R. A. Maxion. Markov Chains, Classifiers, and Intrusion Detection, In Proceedings of the 14th IEEE workshop on Computer Security Foundations (CSFW 2001). IEEE Computer Society, Washington, DC, USA.
2. L. Balzano and R. Nowak. Blind calibration of sensor networks. In Proceedings of the 6th international conference on Information Processing in Sensor Networks (IPSN 2007). ACM, New York, NY, USA, p. 79-88.
3. L. Rabiner, A tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceedings of IEEE, pages(257-286), 1989.
4. GreenerBuildings, http://www.greenerbuildings.eu/2011.
5. C. Kruegel and G. Vigna, Anomaly detection of web-based attacks, In Proceedings of the 10th ACM conference on Computer and communications security (CCS '03). ACM, New York, NY, USA, p. 251-261.
6. C. Chong, and Srikanta P. Kumar. Sensor networks: Evolution, opportunities, and challenges, Proceedings of the IEEE, 2003, p. 1247-1256.
7. C. Haowen, P. Adrian, P. Bartosz and S. Dawn, SIA: Secure Information Aggregation in Sensor Networks, Journal Computer Security 15, January 2007, p. 69-102, Amsterdam, The Netherlands.
8. R. Szewczyk, J. Polastre, A.M. Mainwaring and D.E. Culler, Lessons From A Sensor Network Expedition, European Conference on Wireless Sensor Networks, 2004, p. 307-322.
9. S. R West, Y. Guo and X R. Wang. Automated Fault Detection And Diagnosis Of HVAC Subsystems Using Statistical Machine Learning. 12th International Conference of the International Building Performance Simulation Association, 2011.