Statistical algorithms for anomaly detection
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URL
Journal Title
Journal ISSN
Volume Title
Sähkötekniikan korkeakoulu |
Master's thesis
Authors
Date
2020-12-15
Department
Major/Subject
Communications Engineering
Mcode
ELEC3029
Degree programme
CCIS - Master’s Programme in Computer, Communication and Information Sciences (TS2013)
Language
en
Pages
42
Series
Description
Supervisor
Tirkkonen, OlavThesis advisor
Tirkkonen, OlavKeywords
anomaly detection, statistical hypothesis testing, k-nearest neighbor, wireless communications