Secure Data Aggregation for Sensor Networks - Yessembayev, Anes
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Aggregation of data from multiple sensor nodes is usually done by simple methods such as averaging or, more sophisticated, iterative filtering methods. However, such aggregation methods are highly vulnerable to malicious attacks. In this work, algorithms that remove false readings before estimating of true values are developed and evaluated. For detection of false readings local outlier factor (LOF) technique is used.

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Produktbeschreibung
Aggregation of data from multiple sensor nodes is usually done by simple methods such as averaging or, more sophisticated, iterative filtering methods. However, such aggregation methods are highly vulnerable to malicious attacks. In this work, algorithms that remove false readings before estimating of true values are developed and evaluated. For detection of false readings local outlier factor (LOF) technique is used.
Autorenporträt
Specialist: Karaganda State Technical University, Karaganda, Kazakhstan 1993 - 1998;MS in Computer Science: University of Miami, Miami, USA 2014 - 2015