Unsupervised SPITters detection scheme for unbalanced callers

Kentaro Toyoda, Mirang Park, Okazaki Naonobu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

As the IP-based telephony service is getting popular, new attackers called SPITters (Spam over Internet Telephony callers) who advertise products and conduct a survey is being emerged and it is urgent demand to detect them. Recently, a novel unsupervised SPITters detection scheme, which leverages a clustering algorithm, has been proposed. However, this scheme does not work well when the SPITters account for a small fraction of the entire caller. In this paper, we propose a new unsupervised SPITters detection scheme by adding artificial data to solve such unbalanced situation. Our scheme will avoid some of the legitimate callers from being clustered into the SPITters' cluster and the classification performance will be improved. We show the efficiency of the proposed scheme by means of computer simulation with real and artificial call log datasets.

Original languageEnglish
Title of host publicationProceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages64-68
Number of pages5
ISBN (Electronic)9781509018574
DOIs
Publication statusPublished - 2016 May 17
Externally publishedYes
Event30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016 - Crans-Montana, Switzerland
Duration: 2016 Mar 232016 Mar 25

Other

Other30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
CountrySwitzerland
CityCrans-Montana
Period16/3/2316/3/25

Fingerprint

Internet telephony
Spam
Clustering algorithms
Leverage
Clustering Algorithm
Computer Simulation
World Wide Web
Telephony
Entire
Computer simulation

Keywords

  • Security
  • SPIT
  • Unsupervised machine learning
  • VoIP

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Modelling and Simulation

Cite this

Toyoda, K., Park, M., & Naonobu, O. (2016). Unsupervised SPITters detection scheme for unbalanced callers. In Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016 (pp. 64-68). [7471174] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WAINA.2016.10

Unsupervised SPITters detection scheme for unbalanced callers. / Toyoda, Kentaro; Park, Mirang; Naonobu, Okazaki.

Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 64-68 7471174.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Toyoda, K, Park, M & Naonobu, O 2016, Unsupervised SPITters detection scheme for unbalanced callers. in Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016., 7471174, Institute of Electrical and Electronics Engineers Inc., pp. 64-68, 30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016, Crans-Montana, Switzerland, 16/3/23. https://doi.org/10.1109/WAINA.2016.10
Toyoda K, Park M, Naonobu O. Unsupervised SPITters detection scheme for unbalanced callers. In Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 64-68. 7471174 https://doi.org/10.1109/WAINA.2016.10
Toyoda, Kentaro ; Park, Mirang ; Naonobu, Okazaki. / Unsupervised SPITters detection scheme for unbalanced callers. Proceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 64-68
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