AIS: Ars Iuris Salmanticensis

Bahrepour, M., Meratnia, N., Havinga, P. J. M., and Havinga, M., 2009a. Sensor Fusion-based Event Detection in Wireless Sensor Networks. In Proceedings of the 6th Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services. doi:10.4108/icst.mobiquitous2009.7056.

Bahrepour, M., Meratnia, N., Poel, M., Taghikhaki, Z., and Havinga, P. J., 2010. Distributed Event Detection in Wireless Sensor Networks for Disaster Management. In International Conference on Intelligent Networking and Collaborative Systems. doi:10.1109/incos.2010.24.

Bahrepour, M., Zhang, Y., Meratnia, N., and Havinga, P. J., 2009b. Use of event detection approaches for outlier detection in wireless sensor networks. In International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). doi:10.1109/issnip.2009.5416749.

Beresford, A. and Stajano, F., 2004. Mix zones: user privacy in location-aware services. In Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications. doi:10.1109/percomw. 2004.1276918.

Duckham, M. and Kulik, L., 2005. A Formal Model of Obfuscation and Negotiation for Location Privacy, pages 152–170. Lecture Notes in Computer Science. Springer Science + Business Media. doi:10.1007/11428572_ 10.

Faulkner, M., Liu, A. H., and Krause, A., 2013. A fresh perspective. In Proceedings of the 12th international conference on Information processing in sensor networks - IPSN. doi:10.1145/2461381.2461387.

Faulkner, M., Olson, M., Chandy, R., Krause, J., Chandy, K. M., and Krause, A., 2011. The next big one: Detecting earthquakes and other rare events from community-based sensors. In 10th International Conference on Information Processing in Sensor Networks (IPSN), pages 13–24. IEEE.

Goldreich, O., 2005. Foundations of Cryptography - A Primer. Foundations and Trends in Theoretical Computer Science, 1(1):1–116. doi:10.1561/0400000001.

Laskov, P., Schäfer, C., Kotenko, I., and Müller, K.-R., 2004. Intrusion Detection in Unlabeled Data With Quarter-Sphere Support Vector Machines. PIK - Praxis der Informationsverarbeitung und Kommunikation, 27(4):228–236. doi:10.1515/piko.2004.228.

Li, S., Da Xu, L., and Zhao, S., 2015. The internet of things: a survey. Information Systems Frontiers, 17(2):243–259.

Ma, C. Y. T., Yau, D. K. Y., Yip, N. K., and Rao, N. S. V., 2013. Privacy Vulnerability of Published Anonymous Mobility Traces. IEEE/ACM Transactions on Networking, 21(3):720–733. doi:10.1109/tnet.2012.2208983.

Marin-Perianu, M. and Havinga, P., 2007. D-FLER - A Distributed Fuzzy Logic Engine for Rule-Based Wireless Sensor Networks, pages 86–101. Ubiquitous Computing Systems. Springer Science + Business Media.

doi:10.1007/978-3-540-76772-5_7.

Minson, S. E., Brooks, B. A., Glennie, C. L., Murray, J. R., Langbein, J. O., Owen, S. E., Heaton, T. H.,

Iannucci, R. A., and Hauser, D. L., 2015. Crowdsourced Earthquake Early Warning. Science Advances,

(3). doi:10.1126/sciadv.1500036.

de Montjoye, Y.-A., Hidalgo, C. A., Verleysen, M., and Blondel, V. D., 2013. Unique in the Crowd: The Privacy

Bounds of Human Mobility. Scientific Reports, 3. doi:10.1038/srep01376.

Pournaras, E., Nikolic, J., Velásquez, P., Trovati, M., Bessis, N., and Helbing, D., 2016. Self-Regulatory

Information Sharing in Participatory Social Sensing. EPJ Data Science, 5(1):1.

Powers, D. M., 2011. Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and

correlation.

Rawat, P., Singh, K. D., Chaouchi, H., and Bonnin, J. M., 2013. Wireless Sensor Networks: a Survey

on Recent Developments and Potential Synergies. The Journal of Supercomputing, 68(1):1–48. doi:

1007/s11227-013-1021-9.

Ruan, Y. and Mostofi, Y., 2008. Binary consensus with soft information processing in cooperative networks. In

th IEEE Conference on Decision and Control. doi:10.1109/cdc.2008.4738899.

Shahid, N., Naqvi, I. H., and Qaisar, S. B., 2012. Characteristics and Classification of Outlier Detection Techniques for Wireless Sensor Networks in Harsh Environments: a Survey. Artificial Intelligence Review,

(2):193–228. doi:10.1007/s10462-012-9370-y.

Watkins, C. J. and Dayan, P., 1992. Q-learning. Machine learning, 8(3-4):279–292.

Whitmore, A., Agarwal, A., and Da Xu, L., 2015. The Internet of Things—A survey of topics and trends.

Information Systems Frontiers, 17(2):261–274.

Wittenburg, G., Dziengel, N., Wartenburger, C., and Schiller, J., 2010. A system for distributed event detection

in wireless sensor networks. In Proceedings of the 9th ACM/IEEE International Conference on Information

Processing in Sensor Networks - IPSN. doi:10.1145/1791212.1791225.

Zhang, Y., Hamm, N., Meratnia, N., Stein, A., van de Voort, M., and Havinga, P., 2012. Statistics-Based Outlier

Detection for Wireless Sensor Networks. International Journal of Geographical Information Science,

(8):1373–1392. doi:10.1080/13658816.2012.654493.

Zhang, Y., Meratnia, N., and Havinga, P., 2009. Adaptive and Online One-Class Support Vector Machine-Based

Outlier Detection Techniques for Wireless Sensor Networks. In International Conference on Advanced

Information Networking and Applications Workshops. doi:10.1109/waina.2009.200.

Zoumboulakis, M. and Roussos, G., 2007. Escalation: Complex Event Detection in Wireless Sensor Networks, pages 270–285. Lecture Notes in Computer Science. Springer Science + Business Media. doi:10.1007/

-3-540-75696-5_17.