Master of Science (MS)
Computer Science (Arts and Sciences)
Date of Defense
First Committee Member
Second Committee Member
Third Committee Member
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.
sensor network; outlier; lof; local outlier factor; detection of outliers; secure data aggregation
Yessembayev, Anes, "Secure Data Aggregation for Sensor Networks in the Presence of Collusion Attack using Local Outlier Factor" (2015). Open Access Theses. 589.