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, Olav

Thesis advisor

Tirkkonen, Olav

Keywords

anomaly detection, statistical hypothesis testing, k-nearest neighbor, wireless communications

Other note

Citation

Permanent link to this item

https://urn.fi/URN:NBN:fi:aalto-2020122056408

Collections

[dipl] Sähkötekniikan korkeakoulu / ELEC