Title :
Secure countermeasures to data aggregation attacks on sensor networks
Author :
ZareAfifi, S. ; Verma, Rajesh ; King, Bruce ; Salama, Paul ; Dongsoo Kim
Author_Institution :
Purdue Sch. of Eng. & Technol., Indiana Univ. Purdue Univ. Indianapolis, Indianapolis, IN, USA
Abstract :
In this work we discuss, problems associated with aggregating data within a sensor network. Clearly, if one or more sensors are faulty, their data is questionable. In situations where data is aggregated together to form information, the accuracy of the information will also be questionable if some of the data is faulty. We briefly discuss some “simple statistical functions”, which may need to be computed using sensor data. We construct some approximation methods for aggregated statistical functions within a sensor network.
Keywords :
statistical analysis; wireless sensor networks; approximation methods; data aggregation attacks; sensor networks; simple statistical functions; Approximation methods; Base stations; Computational modeling; Distributed databases; Educational institutions; Seismic measurements; data aggregation attacks; faulty sensors; sensor networks;
Conference_Titel :
Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
Conference_Location :
Boise, ID
Print_ISBN :
978-1-4673-2526-4
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2012.6292155