대한전자공학회논문지SP (Journal of the Institute of Electronics Engineers of Korea SP)

대한전자공학회 (The Institute of Electronics and Information Engineers)
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3GPP2 SMV 기반의 보이스 피싱 검출 알고리즘

Voice-Pishing Detection Algorithm Based on 3GPP2 SMV

  • 이계환 (인하대학교 전자공학부) ;
  • 장준혁 (인하대학교 전자공학부)
  • Lee, Kye-Hwan (Department of Electronics Engineering Inha University) ;
  • Chang, Joon-Hyuk (Department of Electronics Engineering Inha University)
  • 발행 : 2008.07.25
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초록

본 논문에서는 보이스 피싱 (Voice Pishing) 예방을 위한 알고리즘을 3GPP2 Selectable Mode Vocoder (SMV) 코딩 파라미터를 기반으로 제안한다. 상대방 휴대폰에서 전송된 신호를 기반으로 SMV의 복호화 과정에서 자동적으로 추출되는 중요 특징벡터만을 사용하여 Gaussian Mixture Model (GMM)을 구성하고 이를 기반으로 보이스 피싱 예방을 위한 검출 알고리즘을 제안하였다. 실험 결과 제안된 코딩 파라미터 기반의 보이스 피싱 알고리즘이 전화사기 예방에 우수한 성능을 보인 것을 알 수 있었다.

We propose an effective voice-pishing detection algorithm based on the 3GPP2 selectable mode vocoder (SMV). The detection of voice pishing is performed based on a Gaussian mixture model (GMM) using decoding parameters of the SMV directly extracted from the decoding process of the transmitted speech information in the mobile phone. The experimental results indicate that SMV decoding parameters are effective in discriminating between general voice and phisher's voice and the performance is significantly acceptable when the proposed technique is applied.

키워드

참고문헌

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