Publication Date
2015-11-12
Availability
Open access
Embargo Period
2015-11-11
Degree Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Science (Arts and Sciences)
Date of Defense
2015-11-03
First Committee Member
Dilip Sarkar
Second Committee Member
Geoff Sutcliffe
Third Committee Member
Subramanian Ramakrishnan
Abstract
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.
Keywords
sensor network; outlier; lof; local outlier factor; detection of outliers; secure data aggregation
Recommended Citation
Yessembayev, Anes, "Secure Data Aggregation for Sensor Networks in the Presence of Collusion Attack using Local Outlier Factor" (2015). Open Access Theses. 589.
http://scholarlyrepository.miami.edu/oa_theses/589