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

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