Unsupervised SPITters detection scheme for unbalanced callers

Kentaro Toyoda, Mirang Park, Okazaki Naonobu

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings - IEEE 30th International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ64-68
ページ数5
ISBN(電子版)9781509018574
DOI
出版ステータスPublished - 2016 5月 17
外部発表はい
イベント30th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2016 - Crans-Montana, Switzerland
継続期間: 2016 3月 232016 3月 25

Other

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

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 情報システム
  • 情報システムおよび情報管理
  • モデリングとシミュレーション

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